#its generally the MLs that fall in that category

[glowingreverie]

.

[silviakundera]

Me : Hasn't watched a single drama from 2024 because I was too busy

Me: Goes to mydramalist to find something romantic to watch and starts reading comments on all the stuff that seems interesting sees that for almost every one of these fall into one of two camps the first one which houses the majority of shows the comments are exclusively about the guy and how much of a simp or green flag he is (their words not mine) the second category is people are criticizing the show for portraying an uneven dynamic where the fl treats the ml like shit

Me: backs away slowly and goes back to my binge watch of star trek deep space nine

Idk what it is if it's the writing or the different type of fans or a combination of both all I know I'm very confused 🤔 have we fallen into a different timeline ? Parallel universe? Have screens cooked our brains completely?

my friend, your first mistake was raw dogging the comments section on MDL 🙈😂😭 gotta proceed with caution these days 🚧🚧🚧🚧

but I got you. If you want to dip your toes back into 2024 cdramas romances,

* Legend of Shen Li is almost universally liked. I don't know that I encountered a real hater. Don't turn that into sky high expectations that can't be met, though. It's simply a solid xanxia romance with a very strong landing - 1 full length episode dedicated to the happy ending, instead of the xanxia standard 1 minute. The most high god in the universe x demon general who is engaged to heaven's notorious playboy that's terrified of her. and who is temporarily a chicken. (just go with it) The main couple have chemistry & are very capable actors. Rarely do I make it thru a xanxia without ever being consumed with rage at some awful thing the plot has one of the main couple perpetrate on the other... but this one passed! The main actress is convincing as an immortal warrior.

* Blossoms in Adversity is NOT universally liked, tbh it got almost no traction on tumblr. But despite all its flaws I found myself watching it eagerly. I am a sucker for historical costume dramas with feminist themes - if you enjoyed Dream of Splendor, this one might appeal. After all the men in the family are exiled and they are stripped of their noble status, the main wives, concubines, children, and servants of a large official's household have to figure out a way to survive on their own. Without the guidance (and yoke) of men. The strength of the drama is that it isn't easy - these women are not all kind & smart & selfless. They're complicated people and a product of their environment. But watching them slowly come together was so satisfying, and how all the women begin to explore an identity beyond the strict roles they held in that manor. It's so direct about how much power men had over their wives in that era and what that means for these women. The main otp will appeal if you like ships of 2 mature adults who have their own goals and respect each other as equals, who are supportive but don't step on each other's independence. The FL's practicality was so pleasing to me. It just dropped it's final episodes via Express.

* The Spirealm available legally now on Viki, if your tastes run to censored gay romance. And if you like mystery/ horror and like fiction that asks, what is reality (and does the definition of 'real' matter). Like in korean bl Love for Love's Sake, the protagonist enters a game world and ends up caring about that world. (unlike LFLS, a distinct lack of kissing with tongue)

* In Blossom - Chinese het web novel vibes just exploding onto the screen. Childhood sweathearts torn apart years ago, now he's a rich noble while she's poor but he still wants to marry her as promised. (She is less sure about this.... then she gets her body swapped by this crazy chick who really REALLY wants to marry the ML. who, ooops gets murdered on their wedding night.) So now FL is in crazy chick's body and the #1 suspect for her gruesome murder is ML, that childhood sweetheart who showed up out of the blue to propose. and happens to be the top candidate in running to marry the crown princess 🤔🤔🤔 . She thinks he (tried to) kill her. He thinks she's dead and hates the lady she's stuck impersonating. Spoiler: they fall in love.

* Amidst a Snowstorm of Love - Slice of life soft cdrama, if you like that kind of thing. Developing relationship for like 30 episodes about 2 professional snooker players. Relaxing vibes, sweet romance. They're both kind, talented, and capable. They're good for each other and really humanly awkward about starting a relationship. You don't watch this kinda drama for dramatic tension, you just chill with it and wind down after a hard day. It's baked-in that they'll get married at the end.

[accumax]

Key Factors to Consider While Picking a Lab Centrifuge

Choosing the appropriate centrifuge for your laboratory can make all the difference when it comes to yielding good efficiency, dependability, and suitability for various applications. In this guide, we outline the key consideration factors that would help you make informed choices as you pick the right centrifuge for your needs.

Understanding Centrifuges and Their Role in the Lab

A lab centrifuge becomes indispensable in those laboratories where the separation of fluids, gasses, or liquids, based on density, becomes necessary. Various models of centrifuges are used in the laboratory, starting with blood, DNA, RNA, or other cellular components separations. The correct model will depend on your specific application, throughput, and long-term requirements.

Neuation offers a range of models with the aim of solving diversified laboratory needs, namely,

iFuge CS2P NXT

iFuge FX2P

iFuge L1000

iFuge L400 NXT

iFuge L400P

Below are the key factors to consider when picking the perfect centrifuge for your lab:

1. Type of Samples

Different centrifuges are optimized for specific sample types. Blood, DNA, RNA, and other biological materials may require varying speeds, rotor configurations, and temperature controls. Identifying your sample types will guide you in choosing the right model. For example, high-speed centrifuges are typically needed for molecular biology applications, whereas clinical labs may prefer low-speed models for blood sample separation.

2. Volume and Throughput

The main factor for consideration should be the volume and the number of samples you will be processing at any one time. Some centrifuges are designed for smaller volumes but at high throughput, whereas others handle larger volumes with a limited number of samples to be processed at one time. The iFuge L1000, for example, offers a large capacity of 4 x 250 mL for laboratories dealing in bulk sample processing.

3. Rotor Types

Centrifuge rotors are highly variable concerning the type of sample that one intends to process and the required application. The main types of rotors include:

Fixed-Angle Rotators: Can be operated at high speeds for faster separation of samples, thus generally used in units such as iFuge FX2P.

Buckets on swing-out rotors: Buckets on swing-out rotors work satisfactorily for applications that involve sedimentation and gradient separation. Models accommodating such include iFuge CS2P NXT and iFuge L1000.

Specialized Rotors: These are designed for specific tasks, such as cell culture or microplate centrifugation.

4. Maximum Speed and RCF

The centrifuge speed, conventionally measured in RPM, and the RCF are critical in such separations. The applications will fall into one category or another based on the speed and the RCF of a centrifuge, enabling its functionality in sample separations. As an example, the iFuge FX2P is for very demanding applications because of its unusually high maximum speed of 20,000 RPM at an RCF of 28,000g.

5. Refrigerated vs. Non-Refrigerated

For sensitive, temperature-dependent samples, a refrigerated centrifuge is required. Models include the iFuge CS2P NXT and the iFuge L1000, which boast of refrigeration that ensures sensitive samples are protected even on extended centrifugation. Variants, without refrigeration, include types like the iFuge L400P, best used when the separation of samples is rather basic, where temperature control is not of major concern.

6. Imbalance Detection and Lid Lock Features

Safety is the most important feature of any laboratory equipment. The presence of features like imbalance detection and secure lid locking prevents an accident in centrifugation. This, along with all other models in the Neuation series including iFuge CS2P NXT and iFuge FX2P has imbalance detection and lid locks that ensure safe operation of these.

7. Space Considerations

For space-saving without giving up performance, compact models include the iFuge L400 NXT and the iFuge CS2P NXT. These could be a good option for space-constrained laboratories, while major equipment such as the iFuge L1000 would be better suited to bigger laboratories.

8. User Interface and Ease of Maintenance

Centrifuges with user-friendly interfaces also minimize the learning curve for laboratory technicians and ensure smooth operation. In that regard, the iFuge FX2P and iFuge CS2P NXT models allow for intuitive digital setting of parameters with ease. Besides, ease of maintenance will be a factor to consider in ensuring long-term performance and cost efficiency.

9. Cost-Efficiency and After-Sales Support

Balancing performance with cost efficiency is relevantly important at a purchase decision. The iFuge L400 NXT and the iFuge L400P strike a reasonable balance between cost and performance; hence, these are excellent choices for labs with constrained budgets. Besides, a centrifuge from a reputable brand like Neuation assures one of reliable after-sales support in regard to maintenance, repairs, and calibration.

Sample type, throughput, rotor type, speed, refrigeration, and general safety features are considerations that will go into a purchasing decision when it comes to a lab centrifuge. For each of these requirements, Neuation, a brand of Accumax, has an extensive range of centrifuges. Be it high-volume processing, sensitive biological samples, or budget-friendly options, Accumax provides your laboratory with specific needs-oriented centrifuges with precision and reliability.

Read More:- Key Factors to Consider While Picking a Lab Centrifuge.

[ukpoppers]

Exploring Jungle Juice Poppers in the UK

Introduction

The world of recreational enhancers and aromatics is vast and varied, with one particular product gaining significant attention in the UK: Jungle Juice Poppers. Known for their potency and unique experience, these poppers have carved out a niche in the market. In this article, we will explore what Jungle Juice Poppers are, their uses, legal status, and popularity in the UK.

What are Jungle Juice Poppers?

Jungle Juice Poppers are a type of alkyl nitrite, which are volatile liquid substances that emit a distinctive aroma when opened. These poppers are inhaled directly from the bottle or from a cloth or tissue, providing an immediate and intense rush of euphoria. Originally used as a muscle relaxant and vasodilator in medical settings, poppers have found a prominent place in the recreational scene due to their fast-acting effects.

Uses and Effects

The primary appeal of Jungle Juice Poppers lies in their ability to produce a quick and powerful high. When inhaled, they cause a sudden drop in blood pressure, leading to a feeling of lightheadedness, warmth, and relaxation. This makes them popular in various social settings, including parties and clubs. Additionally, poppers are known for their aphrodisiac properties, enhancing sexual pleasure and reducing inhibitions.

Legal Status in the UK

The legal status of poppers in the UK has been a subject of debate and confusion. Unlike many recreational substances, poppers are not classified as controlled drugs under the Misuse of Drugs Act 1971. Instead, they fall under the category of consumer products, regulated by the Psychoactive Substances Act 2016. This act aims to control substances that have a psychoactive effect on the central nervous system. However, due to their specific chemical composition, poppers have been exempt from this act, making them legal to sell and use in the UK.

Popularity of Jungle Juice Poppers

Jungle Juice Poppers have become one of the most popular brands in the UK, known for their high quality and consistent effects. They are widely available in sex shops, online retailers, and even some general stores. Their popularity can be attributed to their potent formula and the trusted reputation of the Jungle Juice brand.

How to Use Jungle Juice Poppers Safely

While Jungle Juice Poppers are legal and widely used, it is essential to understand how to use them safely. Here are some key tips:

Inhale with Caution: Only inhale the aroma from the bottle and avoid direct contact with the liquid.

Avoid Prolonged Use: Repeated and prolonged use can lead to adverse health effects, including headaches and dizziness.

Store Properly: Keep the bottle tightly closed and store in a cool, dry place to maintain potency.

Know Your Limits: Start with a small amount to gauge your reaction before using more.

You can find the Jungle Juice poppers, including Jungle Juice Black Label, on the UK-Poppers website. This brand is known for its potent effects and various formulations that cater to different preferences. Here are some details about the Jungle Juice Black Label available on their site:

Jungle Juice Black Label: This variant is known for its intense and long-lasting effects, combining isobutyl nitrite and amyl nitrite to provide a powerful rush and muscle relaxation​ (UK Poppers)​​ (UK Poppers)​.

Product Details:

Type: Isoamyl + Isopropyl

Bottle Size: 24 ml square bottle

Usage: Typically inhaled for immediate effects that include heightened sensations and euphoria​ (UK Poppers)​​ (UK Poppers)​.

Conclusion

Jungle Juice Poppers have cemented their place in the UK's recreational scene due to their powerful effects and legal status. While they offer a unique and intense experience, it is crucial to use them responsibly and be aware of their potential risks. Whether you're new to poppers or a seasoned user, Jungle Juice Poppers provide a reliable and exciting option for those looking to enhance their social and intimate experiences. Always remember to purchase from reputable sources to ensure you are getting a genuine product.

For more information and to explore a wide range of Jungle Juice Poppers, visit UK-Popper.com.

[jcmarchi]

AI’s Game-Changing Impact on Corporate Real Estate

New Post has been published on https://thedigitalinsider.com/ais-game-changing-impact-on-corporate-real-estate/

AI’s Game-Changing Impact on Corporate Real Estate

Artificial Intelligence (AI) is transforming industries worldwide, and the corporate real estate (CRE) sector is no exception. The “Colliers Global AI in CRE Report 2024” provides an in-depth exploration of how AI is reshaping CRE, offering significant breakthroughs and long-term benefits. The report covers various aspects of AI’s impact focusing on key areas such as implementation, benefits, challenges, and future opportunities.

The Current Landscape of AI in CRE

AI Implementation Plans

A significant portion of CRE leaders are gearing up to integrate AI into their operations. According to the data:

33% plan to implement AI within the next two years.

26% aim to do so within the next year.

12% expect to adopt AI within the next six months.

12% anticipate implementation within the next five years.

9% have already implemented at least one generative AI solution.

7% have no specific timeframe in mind.

AI Categories in CRE

Colliers has identified six primary categories of AI that are currently being utilized or expected to be adopted soon:

Natural Language Processing (NLP) – Understands, generates, and interacts with human language.

Machine Learning (ML) – Learns from data and improves its performance over time.

Predictive Analytics – Analyzes historical data to predict future trends.

Expert Systems – Mimics human expert decision-making abilities in specific domains.

Generative Models – Generates content such as images or text based on large datasets.

Computer Vision – Analyzes and interprets visual information from the world.

Challenges and Key Focus Areas

The novelty of AI introduces challenges, particularly in data management and standardization. Colliers emphasizes five key focus areas for successful AI implementation:

Transparency – Standardizing and sharing data across CRE firms to utilize AI’s full potential.

Comprehensive Data – Ensuring data is comprehensive and unbiased for accurate AI application.

Governance – Developing data governance programs to minimize risk and ensure data accuracy.

Data Volume – Leveraging the vast amount of data in CRE for effective AI training.

Data Management – Efficiently managing and regulating data access and integrity.

AI’s Projected Impact on CRE

Economic Impact

By 2030, AI could automate activities that account for up to 30% of hours worked in the US economy, significantly impacting productivity and economic value. McKinsey estimates generative AI could add $2.6 trillion to $4.4 trillion annually to the global economy. However, this also means up to 12 million occupational transitions may be necessary by 2030, with 80% of affected jobs falling into four major occupations.

Market Growth

Investor interest in generative AI continues to soar, with significant funding increases:

2017: $1.0 billion

2023: $29.1 billion

Generative AI market revenue is projected to grow at a compound annual growth rate (CAGR) of 57.8% from 2023 to 2028, reaching $36.4 billion by 2028.

AI in CRE Service Delivery

Key Areas of Impact

AI is poised to revolutionize several CRE service areas, including:

Location Intelligence – Identifying new and emerging talent pools and locations.

Supply Chain Solutions – Predicting real-time adjustments to demand forecasts or inventory requirements.

Project Management – Optimizing resource allocation and cost management.

Transaction Management – Enhancing location options with automated workflows.

Workplace Advisory – Generating different occupancy and 3D space options.

Lease Administration – Streamlining processes with OCR AI technology.

Portfolio Strategy – Continuously optimizing portfolios with predictive analytics.

Facility Management – Implementing anticipatory building maintenance and automated notifications.

Case Studies and Examples

Lease Administration

Issue: An energy company faced a cyberattack, disabling all systems.

Solution: Colliers used AI OCR to extract details from over 40 images, achieving a 90% capture rate and notifying over 400 landlords of payment delays.

Facility Management

Current: Facility managers collaborate to reduce costs and enhance employee experiences.

Future: Predictive analytics and machine learning will optimize energy use and preventative maintenance, leveraging IoT devices for enhanced facility management.

Supply Chain Solutions

Current: Consultants use spreadsheets for demand forecasting.

Future: AI will enable real-time adjustments based on operational and external data, optimizing supply chain efficiency.

Workplace Advisory

Current: Consultants design customized workplace solutions.

Future: Machine learning will analyze survey data and generate 3D renderings, enhancing employee experience.

Portfolio Strategy

Current: Consultants analyze portfolio data to align with business goals.

Future: Machine learning will provide real-time recommendations on market trends and optimal property mixes.

Location Intelligence

Current: Studies identify ideal locations for hiring needs.

Future: Predictive analytics will automatically recommend locations based on market trends and talent availability.

Project Management

Current: Project managers oversee resource management.

Future: Generative AI will create concept designs, cost estimates, and safety plans, improving project efficiency.

Transaction Management

Current: Managers organize real estate transactions.

Future: AI will automate workflows, create marketing strategies, and provide market analysis for better decision-making.

Additional Considerations

Emerging Job Roles

AI will create new job opportunities within CRE, such as AI ethics experts, security engineers, AI-enabled property managers, and AI trainers.

Ethical Concerns

AI raises ethical concerns, particularly regarding data privacy and the use of proprietary information. Companies must balance effective AI utilization with maintaining ethical standards.

Benefits of AI Implementation

AI can minimize errors, increase profitability, streamline processes, and foster innovative problem-solving.

Industry Outlook

AI is expected to have a transformative impact on CRE, comparable to the advent of the internet. The technology’s rapid evolution presents a golden opportunity for CRE firms to gain a competitive edge.

Conclusion

The integration of AI in CRE offers substantial benefits and opportunities for innovation. By addressing challenges related to data management and ethical considerations, CRE firms can harness AI’s potential to enhance service delivery, optimize operations, and drive economic value. As AI technology continues to evolve, its impact on CRE will only grow, making it essential for industry leaders to stay ahead of the curve and embrace AI-driven solutions.

To learn more readers should download the Global AI in CRE Report 2024.

[vikasraj9807]

What is Artificial Intelligence?

Originally coined by John McCarthy in 1955, AI and ML are used in development that is programmed to think and respond like humans with the ability to solve problems. AI is designed in a way to be able to build agents/robots that can replicate human behavior and even make decisions on their behalf. 

The design and development of computer systems that have the knowledge and skills required to perform the tasks which usually require human intelligence to undertake – AILab

Artificial intelligence (AI) can be broadly categorized into three main types based on their capabilities and functionalities:

Narrow AI (Weak AI): Narrow AI is designed and trained for a specific task or set of tasks. It operates within a limited context and cannot perform tasks beyond its predefined scope. Most of the AI applications that we encounter today, such as virtual assistants, recommendation systems, and image recognition software, fall under this category.

General AI (Strong AI): General AI refers to AI systems that possess human-like cognitive abilities and can perform any intellectual task that a human being can. These systems would have the capacity to understand, learn, and apply knowledge across various domains, demonstrating reasoning, problem-solving, and creativity at a level comparable to humans. General AI remains a theoretical concept and has not been achieved yet.

Artificial Superintelligence (ASI): Artificial superintelligence surpasses human intelligence across all domains and activities. It represents a level of intelligence that is significantly superior to the best human brains in every field, including scientific creativity, general wisdom, and social skills. Achieving ASI raises profound ethical and existential questions and is the subject of speculation and debate in the field of AI research and philosophy.

[prabhatjairam]

AI and Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) have become buzzwords in today's tech-driven world, but what do they really mean, and how do they impact our daily lives? In this article, we'll break down these complex concepts into simple terms and explore how they are transforming various industries.

Understanding AI

At its core, AI refers to the ability of machines or computer systems to perform tasks that typically require human intelligence. These tasks include problem-solving, learning, speech recognition, and decision-making. AI systems can be classified into two main types: Narrow or Weak AI, which is designed for a specific task, and General or Strong AI, which possesses human-like cognitive abilities across various tasks. Currently, most AI applications fall under the Narrow AI category.

Machine Learning Basics

Machine Learning is a subset of AI that empowers systems to learn from data and improve their performance over time without explicit programming. Instead of being explicitly programmed to perform a task, ML algorithms use patterns and statistical models to make predictions or decisions. The key components of ML include:

Data: ML systems rely on vast amounts of data to train and learn. This data can be labeled (with known outcomes) or unlabeled.

Algorithms: These are the mathematical models that analyze data, identify patterns, and make predictions. Different algorithms suit different types of tasks.

Training: During the training phase, the ML model is exposed to data to learn and adjust its parameters to improve performance.

Real-world Applications

AI and ML have already found applications in various aspects of our lives. Here are a few examples:

1) Virtual Assistants: Voice-activated AI assistants like Siri and Alexa use natural language processing and machine learning to understand and respond to user commands.

2) Recommendation Systems: Platforms like Netflix and Amazon use ML algorithms to analyze user preferences and provide personalized recommendations.

3) Healthcare: AI is being used to analyze medical data, diagnose diseases, and suggest personalized treatment plans.

4) Autonomous Vehicles: Machine learning algorithms enable self-driving cars to perceive their environment, make decisions, and navigate safely.

“In the dynamic landscape of technology, staying ahead of the curve is crucial. Study24hr.com, a leading online learning platform, offers a gateway to mastering Artificial Intelligence (AI) and Machine Learning (ML). With a plethora of expert-led courses, Study24hr.com empowers learners to delve into the world of AI and ML, providing a springboard for both beginners and seasoned professionals. So, embrace the future of technology with Study24hr.com – your partner in mastering AI and Machine Learning.”

How AI and Machine Learning Are Changing the World?

We all know that globe is experiencing a significant shift propelled by the swift progressions in Artificial Intelligence (AI) and Machine Learning (ML). These innovations, previously relegated to the realm of speculative fiction, now serve as key players in transforming industries, economies, and the very essence of our everyday existence. Let's explore how they are reshaping the world!

1) Revolutionizing Industries: AI and ML are at the forefront of revolutionizing various industries. In healthcare, predictive analytics powered by ML is improving patient outcomes, optimizing treatment plans, and accelerating drug discovery. In finance, algorithms analyze massive datasets in real time, enabling faster and more accurate decision-making in areas such as trading, risk management, and fraud detection. The manufacturing sector benefits from AI-driven predictive maintenance, optimizing production efficiency and reducing downtime.

2) Enhancing Personalization: The consumer experience has undergone a remarkable transformation, thanks to AI and ML-driven personalization. From streaming services recommending tailored content based on viewing habits to e-commerce platforms suggesting products based on individual preferences, these technologies are creating a more personalized and user-centric digital landscape. This not only improves user satisfaction but also drives engagement and loyalty.

3) Autonomous Systems: AI and ML are the driving forces behind the development of autonomous systems. In transportation, self-driving cars are becoming a reality, with AI algorithms interpreting data from sensors to navigate safely. Drones and robotics are benefiting from machine learning, enabling them to perform complex tasks with precision. These advancements have the potential to revolutionize logistics, delivery services, and various industries reliant on automation.

4) Data-Driven Decision Making: Organizations are increasingly relying on data-driven decision-making facilitated by AI and ML. These technologies can analyze vast datasets at incredible speeds, uncovering insights and patterns that would be impossible for humans to discern. This not only improves the efficiency of decision-making processes but also enables businesses and governments to address complex challenges with a more informed and strategic approach.

Conclusion 

AI and Machine Learning are not merely technological trends; they are shaping the future of how we live and work. The ongoing advancements in these fields open up new opportunities and challenges, urging us to approach their integration with a thoughtful and ethical mindset. Embracing these technologies with a keen understanding of their potential ensures that we harness their power for the betterment of humanity.

[4axiz]

https://fouraxiz.com/

artificial Intelligence (AI) and Machine Learning (ML) have quickly become part of our fast-paced technological landscape, from self-driving cars to virtual personal assistants; their technologies are changing the way we live and work - yet many remain confused by them. Here we take an in-depth look into these ground breaking technologies by demystifying these groundbreaking technologies step by step.

1. Introduction and Machine Learning

2. Historical Development

3. Understanding Artificial Intelligence

Narrow AI Vs General AI 4. Machine Learning - Basics (Supervised/Unsupervised/Reinforcement Learning, Reinforcement Learning etc...) 5 How AI and ML Work Together 6 Real World Applications For Healthcare, Finance, Transportation and Entertainment. 7 The Data Behind Machine Learning Data Collection and Preprocessing, Training Machine Learning Models Feature Engineering/Model Selection as well as Role Neural Networks all provide training machine learning models which train machine Learning models used during practice applications by 9. The Future of AI/ML Quantum Computing/Space Exploration 12. Conclusion.

# A Brief Overview of AI and ML

Artificial Intelligence, commonly abbreviated AI, refers to the development of computer systems capable of mimicking human intelligence and performing tasks that normally require humans. Machine Learning (ML), on the other hand, is an application of artificial intelligence which involves teaching machines how to learn from data in order to improve over time and thus develop themselves further over time. Both fields share many similarities - AI being one aspect while ML another major subfield within it.

# Historical Evolution Artificial intelligence and machine learning (ML) have come a long way since their inception. While AI dates back centuries ago with myths of automatons and mechanical beings, its modern form began during the mid 20th century with electronic computers being introduced into households worldwide. Milestones along the journey include expert systems development, neural network implementations, as well as Big Data fuelling its expansion leading to exponential ML growth.

# Understand Artificial Intelligence (AI).

Narrow AI Vs General AI

Narrow AI (also referred to as Weak AI) is designed for specific tasks; examples include virtual assistants like Siri and streaming platform recommendation algorithms. General AI or Strong AI, by contrast, possess human-level intelligence and are capable of any intellectual task human can. Unfortunately we have yet to achieve General AI systems; current systems fall under Narrow AI categories instead.

# The Basics of Machine Learning

Machine Learning involves training algorithms to recognize patterns within data and make predictions or decisions on its basis. There are various forms of ML available; examples of which include:

Supervised Learning

With Supervised Learning, an algorithm is trained on labeled data which it then learns how to predict input-output pairs based on its training data.

Unsupervised Learning involves processing unlabeled data wherein an algorithm searches for patterns and structures within it on its own without specific guidance from human instructors.

Reinforcement Learning mes Reinforcement Learning refers to agents learning how to make decisions through interaction with an environment and receiving rewards or penalties depending on their actions.

#How AI and ML Work Together

AI systems often employ machine learning (ML) algorithms to enhance their performance. AI-powered chatbots may use this approach to better recognize and address user inquiries when responding more promptly during every encounter with users.

Real World Applications on AI/ML

AI and machine learning technologies have begun making inroads into various industries:

AI in healthcare offers revolutionary new tools for disease diagnosis, drug discovery and personalized treatment plans; making an indelible mark on modern health services.

AI-powered algorithms in finance use machine learning techniques to analyze market trends, evaluate risks and detect fraudulent transactions.

Transportation (#Transportation) Self-driving cars utilize artificial intelligence and machine learning techniques to navigate roads safely and more efficiently than their human predecessors, thus creating safer transportation services with improved efficiencies.

Artificial Intelligence powers recommendation engines on streaming platforms, suggesting content based on individual users' tastes.

The Data Behind Machine Learning

Data Collection

A key factor for the success of machine learning models lies in accurate data collection from both structured and unstructured sources.

Before feeding data to machine-learning models, it must be properly cleaned, transformed, and prepared for analysis in order to guarantee its accuracy and ensure its relevance for analysis. This step of data preparation must also take place prior to feeding it directly into models.

Developing Machine Learning Models

Feature Engineering

Feature engineering refers to selecting and manipulating data features with the aim of improving model performance.

Selecting an effective machine learning algorithm and architecture are fundamental in order to reach desired results.

Neural Networks Have An Important Purpose --

Neural networks based on human brain models play an essential part in deep learning and pattern recognition.

As AI and machine learning develop further, ethical considerations become ever more prominent:

Biases in AI

AI systems may inherit biases from their training data and lead to biased outcomes, creating unfair situations for their users.

Privacy Concerns

Collecting and using personal data raises serious privacy issues which necessitate strict regulation.

AI and Job Displacement.

AI and robotics-enabled automation of jobs raises serious concerns over employment security in the future.

Quantum Computing as the Future of AI and ML

Quantum computing holds great promise as the future of artificial intelligence by providing solutions that classical computers cannot. It promises a major revolution for AI with complex problems being addressed more efficiently.

AI in Space Exploration

AI-powered robotics and autonomous systems will play an essential part in future space exploration missions.

AI and machine learning (ML) technologies are not simply buzzwords; they represent transformative technologies reshaping our world. Understanding their fundamentals is crucial for staying informed of these innovations' progress as they develop; ethical considerations should also be acknowledged while taking full advantage of any opportunities presented by these revolutionary advances. Conclusion

1. What Is The Difference Between AI and Machine Learning? Artificial Intelligence refers to creating intelligent machines; machine Learning refers specifically to teaching machines how to learn from data.

2. Can Artificial Intelligence Achieve Human-Level Intelligence?

AI technology currently stands in its Narrow AI stage and has yet to match human intelligence or consciousness levels.

3. How is AI helping healthcare?

Artificial Intelligence can assist physicians in diagnosing diseases, discovering drugs and customizing treatment plans.

4. Are There Any Ethical Considerations With AI?

Yes, ethical concerns regarding AI include bias in its development, privacy issues and job displacement.

5. What can AI achieve using quantum computing?

Quantum computing holds great promise to solve complex AI challenges and accelerate advancements.

[adammiller454]

Guide to Picking the Finest Teapots

A teapot is a vessel for steeping tea leaves in hot water for making tea. A kettle is not the same as a teapot. The only use for the kettle is to boil water for making tea. You should never use a teapot to boil water and a kettle to steep tea.

Main types of teapots: Teapot sets can be broken down into different categories based on things like country, material, era, and so on. When choosing a teapot set, the two most important aspects to consider are the material and the country of origin.

1. Glass teapots: Adding a good glass teapot set to your collection is always a great idea. They are essential for brewing blooming or flowering teas and work well for brewing almost any type of tea. You will be able to appreciate the beauty of opening tea leaves with this glass teapot set. Teapots made of glass can come in a variety of sizes and shapes. They can have filters made of metal, glass, or nothing at all. Ball-shaped oolongs, blooming tea, floral tea, and a wide range of other green teas are the best to brew in a glass teapot set.

2. Teapots made of cast iron:  The testubin, a type of teapot set made in Japan, is the best example of a cast iron teapot. But not every tetsubin is a teapot. In point of fact, traditional testubins were utilized for boiling water due to their ability to alter the flavor of tea and alter the flavor of water. Testubin are now used to refer to kettles and teapot sets made of cast iron. However, cast iron tea pots have an enamel coating, are used for tea brewing rather than water boiling, and frequently serve more decorative purposes.

3. Teapots made of ceramic:   There are a wide variety of teapot sets made of ceramic, including stoneware, porcelain, porous ceramics, and glazed ceramics. Yixing produces the most well-known sets of porous, unglazed ceramic tea pots. They are excellent for making raw oolong pu'erh teas and are made of purple clay (zisha). Brewing tea may eventually result in the formation of a thin layer of the interior coating. As a result, they should only be used with one kind of tea at a time. Stoneware, the other type of ceramic, is non-porous and can be used to make a variety of teas. Ceramic porcelain is also very thin and sophisticated, so it should be used with care.

4. Teapots made of stainless steel:  The ability to retain heat may be the most significant benefit of stainless steel teapots. As a result, your tea will remain hot longer than it would in a glass teapot. Due to its resistance to falls and boiling water, it is also the most long-lasting material.

Is the flavour affected by the type of teapot you use?

Yes, the flavour of your tea can also be affected by the teapot you use. Non-porous ceramics and glass pots are two examples of materials that are unlikely to alter taste. Porous ceramics, cast iron, and stainless steel all have the potential to influence taste for a variety of reasons. First and foremost, purchase safe, high-quality tea ware at all times. It's possible that the materials used to make cheap teapots aren't always safe, or they could break down over time. Next, teapots made of metal that are not made of stainless steel may rust. The best teapot you can buy is a porous ceramic teapot, but only if you only use it for tea.  

Which material makes the best teapot?

Your needs will determine the best material for your teapot.  

Glass teapots are best for brewing green, floral, and light oolong teas; they can be washed in a dishwasher. Stoneware teapots are generally good for brewing many types of tea; they can usually be washed in a dishwasher.  

Unglazed ceramic teapots are best for brewing darker oolongs, raw pu’erh, or black tea; they can't be washed in a dishwasher or with a washing liquid. 

Porcelain tea pots

Size of teapots:  The type of tea you want to make and the amount of tea you want to make will determine the size of the teapot. A 250-500 ml regular glazed or glass teapot may be the best option for making tea for one to two people when making flavoured blends like Vanilla Black, traditional classic blends like Earl Grey, or herbal blends like Chamomile Lavender. A 250 ml Japanese side-handle kyusu is a great option for making tea for one or two people if you want to brew Japanese teas. Depending on the cups you use, 120-150 millilitres of Chinese gaiwan are sufficient for one to four people and almost any type of Chinese tea.

Should a teapot with a strainer be your choice?

Some teapots come with built-in stainless steel strainers made of metal, some have filters with holes inside, some have filters made of ceramic or metal that can be taken out, and some may not have any filters at all. For loose leaf tea with larger leaves, teapots with internal holes are ideal. Metal filters built in may be great for small particles but may be hard to clean. Almost any type of tea, including rooibos, can typically be used with removable metal mesh filters.

Conclusion:   The above guide will surely help you to select the best material and size of teapot sets for your requirement.  

Resource Box:  If you are looking for stylish teapots or teapot set, then you should buy teapots from one of the best stores like Curate Home to get best teapots of your choice and need at the most competitive prices.  

[keltonwrites]

I bought a house in the middle of nowhere

“Yeah, I loved it, but she’d never move there.” It was something akin to that, at least. He didn’t mean any mischief, no deceit or planning. It was an honest take on what, at the time, was true. I saw the road into town on Google Maps, noted that it was closed during the winter, acknowledged the reality that a person can own a snowmobile, and I said, “we are not moving there.” But, all good truths are just dares in the making.

And here I am, living in the “there” I said I would not. Two years ago, I left my job at Headspace for a life reset. It was pre-pandemic, and Ben and I were planning a big road trip. Our perfect paradise in Topanga, CA, had crystallized itself as many people’s perfect paradise, and those “many people” all had more money than us. Our options to buy a home were nil, and home-buying was essentially all we wanted. Ben’s a builder and I’m a world builder, and we wanted somewhere to invest that didn’t belong to someone else. We packed the car with the tent and the bikes and the dog and all the things that come with tents and bikes and dogs, and off we went on our own Tour de l’Ouest, looking for a place to call home. We knew what we wanted, knew our odds of finding it, and hit the road anyway. Here was the dream list — concocted by two pie-in-the-sky dummies who married each other:

Not rainy or consistently windy

Notable access to the arts

Remote and challenging to get to/close neighbors

Wild West influenced architecture

Progressive community

Exceptional trail access out the front door

High-speed internet

In our budget

And my personal favorite: had to “feel right” Good luck to us with a list like that, but thus began our hunt. We camped in the snow, tried every dirty chai in the Rockies, and explored every town we could. Whatever a good time it was, it felt useless. Every town Ben was OK with, I hated. Every town I was OK with, Ben despised. And the few places we both loved required money we just didn’t have. We came home with our sails down, limping into the harbor of our rental. But as is the way with romantics, our dreams began to slowly eclipse our reality. Books fell victim to Zillow and Trulia. TV was replaced by the MLS. All writing time was dedicated to Realtor.com. Hours were spent pouring over maps, county records, and updating spreadsheets that tracked price per square foot compared to beds and baths. Over time, all that internetting led to one singular town of 180 people at 10,000 feet in the San Juan Mountains of Colorado with a road that said “Closed Winters” on Google Maps. Look, I don’t know what happened. Ben found this town on a map, I said don’t be ridiculous, and after a year or so of him telling people I'd never move here, here I am, being ridiculous. Was it reverse psychology? Maybe. Was it the charming “town plan” that mandated all houses be rustic cabins and forbade AirBnB? Could be. Was it the fact that when I looked at Strava’s Heatmap, it showed what seemed like thousands of miles of trails just out the front door? I mean, yes. All these things played a part, but all I know for certain is that one day I woke up and said, “we’re going to move there.” Ben doubted this conviction (and the realities behind it) thus cementing it into place in my head. In a town of 180 people there’s only ~60 houses, which means maybe 2 or 3 get listed per year — but my spreadsheet had the proof: we hadn’t missed our chance yet in this tiny town. The data showed a strong likelihood there would be at least two houses listed within the calendar year. This, however, was also our last chance. The spreadsheet also showed that if we didn’t find a house this year, we wouldn’t be able to afford one the next. We called a realtor, made our case, and harangued her until she believed us that we were truly the kind of yahoos who would move to an avalanche field and stay there. And then it happened. A pocket listing. It was a darling home built in 1890. It had the beds, the baths, and the views. We were the first and only to know. We put in an offer, they agreed, and we would come to see the house in a few weeks. But in those few weeks, the circumstances changed. The sellers lost their own sweet deal, and they couldn’t sell yet. Their agent promised we had right of first refusal, it was only a matter of time. Ben lamented, I preached patience, and we went to see the house that was no longer for sale anyway.

It was a quiet winter morning in Covid when we drove across the packed snow to meet our realtor outside the house. The sun was out and the 13 degrees Fahrenheit felt warm. I unzipped my jacket, mask on my face. I took long videos and talked about where I would set up my office and where we’d put the bikes. As we closed up and I settled into a future where this house would eventually be mine, our realtor told us there were comps in the area — other residents quietly interested in potentially closing out. Would we like to see them? Sure, let’s.

One home came with an incredible commercial kitchen. The whole house was a whopping 3500 sq ft if my memory serves me correct, which falls under the category of “houses too big to find your cat in."

Another home had an open-air-to-the-kitchen bathroom.

The third was dark and overpriced with cracked windows and open beer cans scattered about.

And then, plans changed.  “Hey guys, there’s actually one more house we can see.” The last house we saw was a log cabin, nestled in the hillside by itself, with massive A-frame windows looking out onto the peaks beyond. Inside was a labyrinth of a life lived long and large. The cabin was built and loved by a man we’ll call Jack. Jack was 82, and as we walked toward the front door on that sunny winter morning, he exited with two beers in his pockets, headed to the mountain to ski. Jack was an attorney — in his life he’d been both criminal and defender — and from the stories, somewhat interchangeably. There were artifacts from running in the same scenes as Hunter S. Thompson and Willie Nelson; there were stuffed birds, bad books, sheet-covered couches, smoked spliffs, and piles and piles of mouse shit. Every inch of the house was lived in, and not just by people. You think millennials like plants? No. This man likes plants. The biggest monstera deliciosa I’ve ever seen, spanning some 10 feet wide and 15 feet tall. Draping cactuses, spider plants, massive aloes, and an ambitious hoya carnosa clawing its way to the top of the massive fireplace. But there were problems. I’m trying to be diplomatic saying the house was lived in. The wood by the door handles was dyed black from years of hand grease rubbing against it. The carpet in the upstairs was soiled almost everywhere with bat scat. Newspaper was stuffed between the massive logs to keep the wind out. There was cardboard taped over almost every window, blankets nailed over the others. Half the doors wouldn’t open. It was unnerving to touch the crusted light switches. It was early enough in the season of Covid-fear that touching anything felt like gambling. On our way back to our rental in the bigger neighboring town, we shared our awe and our no-ways, lamenting how long we’d have to wait for the little 1890s fixer upper. That night, I sent the video I took of the cabin to my parents. “Can you believe this?” I asked. And do you know what my dad said? “Great log construction.” After that, the cabin was all we could talk about. “Could you believe those plants?” “Did you see how big those logs were?” “I just googled Jack, look at this.” “Do you know what the insulating factor of logs is?” “How much did he say he was asking?” It came down to the plants. Amidst all the chaos in that house, the tender care of those decades-old plants sung the clearest. This wasn’t just a place Jack lived in, it was a place that wanted to be lived in. We made an offer the next day.

Jack had six months to clear out his 30 odd years of collecting, and the town had six months to speculate about the worrisome Californians moving to their high-altitude, high-risk town. The town itself is an old mining town. It rests in a high valley, surrounded by peaks over 13,000ft, and is over six hours from the nearest major airport. Five people died around this town in avalanches this past year. The dirt road into town is littered with avalanche fields, warning visitors to not stop when driving in. The other way out is a pass road, only drivable in the warm months, but you could skin out if it was dire. Most August days, the high is in the mid-60s. The valley is blanketed in wildflowers, and the aspens littering the mountainsides suggest a promising fall display. The town had a heyday, a low day, and now it’s a community of preppers, adventurers, appreciators, and “get all these idiots away from me”ers. We don’t know these people yet, but the ones we’ve met have the same like to live hard attitude we do. Heli-ski guides, ex-CIA agents, woodworkers, bakers, teachers, just a general can-do group of people. The kind of people that see a California license plate and peer with skepticism between the thin gap over their sunglasses and under their caps.

You might say I’m romanticizing the place, but the residents are worse. Like all good old-timers, they’re full of threats: “wait’ll you see the snow drifts,” “let’s see how you do outrunning an avalanche,” “good luck with the winds,” “the last Californians didn’t last a year.” God, what does that remind me of?

“Yeah, I loved it, but she’d never move there.”

With every taunt, my teeth ground more enamel, fingers rolling into a clench. And maybe Jack recognized this intensity, because on the day of closing, he hosted a gathering for us in the town's open space. He had us introduce ourselves to the skeptical locals, and I made my case in court, eyes narrowed and lips curled. “I’m the daughter of a smokejumper and wildlife biologist. I grew up watching the wind and the door. I’ve lived in big cities, small boats, and more than one cabin. I always take the stairs, I never use air-conditioning, and I’m a very good shot.” I’m just a girl, standing in front of a town, asking them to give her a fucking chance. Jack stepped forward to speak. “You know, I had my doubts about a couple Californians coming to look at my house. But these people? These are the nicest people you’re ever gonna meet.” And then I helped Jack set up his cot so he could spend his last night under the stars in the town that kept him young. Cooper ran circles with the other dogs. People brought homemade cocktails and bowls of dip and we felt welcomed. Even the mayor, a fellow writer, came and she struck up a conversation. “I hear you’ve got a little bit of a following on social media!” She teased. “I guess, nothing wild.” “Well I just wanted to let you know if you ever geotag this town, I’ll drag you out of it.” She grinned. This was a special place. And every visitor who couldn’t handle the realities of being here threatened the very wellbeing of the people who lived here. This town survives on a delicate balance. They source their own water, manage their own roads, and fervently protect the land and the people around them. Their stories about racing avalanches, snowmobiling in the dark of night to the doctor’s house, hunkering down in each other’s homes as the storms pass — these stories were bylaws. You can join when you’ve proven you’re ready to join. By their own projection, they are hardy and steadfast people, and when they see a Californian, they see something fleeting. Many years ago, I worked in the British Virgin Islands. The people born and raised there were called Belongers. At the customs office, the placards above the lines literally read, “If you belong, stand here” and “If you do not belong, stand here.” Whether or not we belong isn't up to the town council, and it's not up to these residents. It's up to years spent drifting my old Mustang in the snow on the way to school, up to Ben's months and months spent in the backcountry, up to my years of reading fire reports and assisting with evacuations, up to Ben's ability to read the landscape and the weather, up to my doggedness, his diligence, and our pathological love to do difficult things well. It’s up to us, to these old logs, and to this valley. Doesn't mean we'll belong, but it does mean we'll try. And for the record, the road is open in the winter. But do these sound like the kind of people who’d tell Google that? Next week, a tour of the house that we get to call ours — stuffed with newspaper, run by plants, and filled with mice. P.S. Here's where we get our mail.

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[aro-aizawa]

suprisingly not that many people ship them, but the thing is. the "&" is literally in the top 3 relationships!! i have not been in a fandom where a "&" is one of the most popular rships. (im not exactly.. against them? i prefer brotp in general but there are a lot of uh racist antis against that romantic ship so i like it on principle for the ~spite~)

i think theres a difference between a ship fic and a ..normal fic(?). like. usually in ship fics the plot and the focus would be their interactions/getting together. whereas for regular fics u can kinda balance plot and rship, but the main plot isnt actually getting together. do u kinda get what i mean haha

no no feel free to rant! its kinda funny that they taught u to swear in yr6 but rip for not being able to censor urself. and also. broke up. over facebook??? better or worse than text lmao.

the only rship ive had started off... not great. like it was an online friend from south america, and they asked me out literally the day i rejected my friend. so... i said yes out of guilt for rejecting my friend bc it didnt look like my friend was taking the rejection well ^^; not a wonderful start rip. went well for 6-8 months then we broke up bc the honeymoon period wore off and i havent talked to them since! ✌🏻✌🏻✌🏻✌🏻✌🏻✌🏻✌🏻 it was fun tho, but it felt honestly just more online friends tbh (....interesting decisions all around yknow? )

it be how it be. i was still id'ing as panromantic ace at the time. but still. im wondering if i could eventually "work" with someone? or is that just. allonormative asgsggshshd

i see enemies to lovers but what i Rlly want is enemies to friends to lovers. the friends is necessary!! at least in a long fic haha. ...and love at first sight sounds really fake to me? it sounds just like a hyperbole tbh. like maybe it was first wow u seem like a great person and then u like, get to know each other and then fall in love, etc etc

(👀 oop i type a lot. Rip)

oh yiiiikes i hate when fandom gets those racist fans. i’m kind of,,, dense?? about that kind of thing (abt a lot of similar things too), so whenever i see it, it’s like. mega bad. but nice! i don’t ever pay attention to what’s the most popular in terms of ao3 because when i get into a fandom i’ll blacklist every thing i’m not comfortable seeing in said fandom and then save that for when i’m gonna check out said fandom. for example [here is my atla filters], [here is my mha filters] and [here is my ml filters]. (i also use an extention called ao3rdr which has a blacklist function and my blacklist is SO LONG. but it’s an essential so that i don’t feel like my brain is going to rot by trying to find good fics.)

ye!!! i always think abt it in terms similar to genres. i hate watching films and regular books because genres are so....stilted? and ridgid in what it involves? so in fandom terms i think there’s two main kind of genre categories that have sub categories. there’s ship fic, then there’s genfic. no clue if these are wide spread terms i’ve just kind of understood it that way lol. but within those two categories, there’s sub genres like canon divergence that focus on said ship but with a focus on the plot as well so there’s two plots going on rather than just the main plot. usually there’s always equals in both sides. i think that’s what you’re thinking of. the difference is how the authors approach their fics, whether they think it’s a ship fic explorating the how do they get together of relationships or if it’s the genfic of exploring the relationship itself.

lmao yeah it was like. the only way we’d communicate in non-irl fashion because we were both like. 12/13 so we’d have like. pay as you go plans for our phones so i at least, hoarded my credit and primarily used alternate communication methods. so idk if this is wide spread but at the time we never got into the habit of communicating via text. it’s why still to this day i never ever contact my irl friends via texts, and always through social media (the only time i ever use facebook nowadays is to message my friends tho i’ve been,,,, rather lax abt that. i need to respond to one of my group chats but i’m,,, procrastinating). and we were both awkward people, so i wasn’t bothered by the online breakup, if he didn’t break up w me that way i’d have guessed we just,,, wouldn’t address the relationship ever again and still technically be together but not at the same time lol

oh man that sounds rough. never had any experiences w online relationships, but i can definitely see where it could feel like an online friendship. because,,, idk maybe it’s just me but there doesn’t??? seem like there’s much?? romantic-esque stuff you can do exclusively online?? it’s why long distance relationships are hard, and they only fit certain couples. and lol i deffo understand that feel of internet friends dropping out of your life suddenly. i still think of nearly all my internet friends fondly...except for the bad ones. yeah some of those ones ten years ago were p bad.

it is!! i think that people always shorten it to just enemies to lovers though because it’s easier to say lol. i’m MUCH more interested in the genfic varient of enemies to found family because it goes from “god i want to kill you so bad” to “god i need to kill for you like rn”. it’s just,,, *chef’s kiss*

(dw i type a LOT too lmaooo and sorry it took so long for me to reply, i didn’t feel like talking to anyone for a few days ahah i just get those kinds of moods sometimes. as evidenced by my also ignoring of my friend group chat of over seven years, that i’ve been meaning to reply to for over 24 hours and i haven’t yet. yay.)

[edwad]

Including Marx and all of his "descendants" there is a shit ton of theorists and a ton that disagree on quite a bit. If you had to recommend certain thinkers to not waste time on who would that be, and If you were to recommend people to pay attention to who would that be? I started reading Heinrich after you referencing his work and It has been very helpful in understanding Marx.

first of all, despite the fact that my reading of marx is objectively Good and True, you’re obviously asking for my one-sided opinion so be aware that that’s what you’re getting.

second of all, i don’t think there are any theorists that are a total waste of time to read tbh. even my least favorites hold some sway in the secondary literature and their influence has to be reckoned with to some degree. being totally ignorant of them doesn’t put you at any kind of advantage.

but with both of those things out of the way, here are my lists

bad theorists to not waste (too much) time on

the monthly review school (sweezy, baran, magdoff, foster). as someone that sunk a decent amount of time into studying this camp a few years ago when i still read marx as an economist, nowadays i see almost 0 utility in their work. i think their body of theory rests on erroneous assumptions that can’t be justified through reference to marxs work or real historical development. beside their economics, they also really push a bizarre eco-socialist rhetoric that really stems from engels’ dialectics of nature, which is, imo, really untenable.

traditional marxian political economy (dobb, meek, cockshott, etc). another camp i spent too much time on, the majority of respected academic marxist economists in the 20th century come from this approach of reading marx as a kind of radical ricardian and have their roots in the history of economic thought, which allows them to come across as much more knowledgeable and serious than they should actually be taken to be. this group reads marxs immanent critique of political economy as a political economic critique of capitalism, getting him totally wrong. the understanding of value is substantialist and redundant, leading many from this camp to be end up sympathetic to the sraffian/neo-ricardian project.

fundamentalist marxist political economy (m roberts, cockshott, s williams, choonara, kliman, etc). more or less a contemporary offshoot of what i just talked about, but which buckled down on the traditional reading of marx against the implications of sraffa’s work and generally without the benefit of a deep familiarity with the history of economic thought. marxs project is understood as a critique of individual political economists and the capitalist system, but at the end of the day he is still read as a political economist that is more or less on ricardian turf. some of these names are better than others, but there is definitely an unresolved tension in their collective approach between marxs uniqueness as a theorist and the historical theorists he’s allegedly merely building on.

postoperaismo, immaterial labor theorists (late negri, hardt, mason, lazzarato). this group attempts to go beyond marx in order to theoretically account for the changing dynamics of capitalism in the late 20th century, but ultimately the marx they’re going beyond is the marx of the traditional interpretation, meaning that they never really grapple with marxs critical social theory or his theory of value, which for him was always-already incapable of direct empirical measurement, something these theorists chalk up to the historical development of immaterial forms of labor rather than the nature of the thing itself.

the 2nd international (kautsky, bernstein, etc). maybe the errors of this group are obvious enough to most people that this doesn’t really need to be said, but reading these theorists after marx, and especially after his unpublished manuscripts (the paris manuscripts, grundrisse, etc where you get to see his sympathies laid out more clearly) you begin to see how everyone involved in the 2nd international was involved in a campaign of reducing marx down to a crude caricature of a serious theorist (not intentionally, but it was definitely the result of their combined effort). these people really were simpletons lmao. i suppose lenin and luxemburg can be treated as exceptions, but not to the point of being on my Need To Read List, because i think ultimately they fall back on many of the same problems (largely due, in part, to the lack of access to the above manuscripts which would be a problem for several more decades).

engels. the one i will be murdered for. but i really do think that engels’ later work is seriously dumbed down theoretically, and that he, as the official representative of marxs work after 1883 and with some of the same limitations, solidified the traditional interpretation passed down to the 2nd international. his earlier work, despite its problems, is where he shines through the most. after all, it was engels who wrote the first communist critique of political economy in 1843 which pushed marx down that same path. but in his later years, he begins speaking positively of political economy, as if its aims were the same as his and marx’s, or as if it simply had to be used by the right hands. this doesn’t make him a traitor to the cause or anything like that, but it does make him, despite their obvious closeness, an unreliable interpreter of marx. that being said, he’s completely unavoidable and his interpretation of marx stood as the official canon and entry point to marxism at the turn of the 20th century. read him, but don’t be a weird engels fan

how to speedrun marx

neue marx-lektüre (backhaus, reichelt, heinrich). the supremely good shit. highly marxological. corrects a lot of problems associated with the traditional reading. glad you like heinrich! i would honestly probably recommend reading sam chambers’ there’s no such thing as the economy to follow up on heinrich with. he does a good job of grounding some of it a bit and also provides a decent summary of the NML. one of the other benefits of the NML is that its explicitly concerned with the critique of the state.

wertkritik (kurz, trenkle, postone, krisis, exit!). good, worth engaging with, but not perfect. postone is probably the strongest theorist related to this tradition imo but their collective merit is in pushing some of the categories further than was typically done, like postone’s treatment of absract time. unfortunately, the theory of value itself is generally weak among these thinkers and they really need to be grounded by the NML in order to hold much utility. you can read heinrich’s critique of postone for a bit more info on this.

big tent value/social-form theory (rubin, milios, murray, arthur, bellofiore, eldred). all (except rubin, who was first) are in some way indebted to the NML but generally come to their similar positions in different ways. unoists would technically belong here but they’re weird and think abstract labor is transhistorical.

open marxism (holloway, bonefeld, o’kane, cleaver). whenever maoists talk about how MLM constitutes a higher scientific development over plain ole ML, this is what open marxism does to everything else on this part of the list. they’re also much more explicitly politically inclined, which is always nice. as an outgrowth of the NML, the state debates are very central to this tradition.

[kitesilver24]

Peptides As Well As Your Creases

Distinguishing Between Historical Lamb And Also Goat Bones Using A Single Collagen Peptide

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October 2014 saw the magazine of a research study, launched by Andrew, of the impact of bread fermentation time on the digestive tract bacteria of patients with Irritable Bowel Syndrome. This is the first component of a broader examination right into the under-researched concern of just how breadmaking method affects digestibility as well as nutrient schedule. Bread Issues plays a consultatory duty in this job, which will certainly give robust proof for public-health-led innovation in milling and cooking modern technologies. However it's unlikely to deliver on any of the advantages provided above unless lactic acid microorganisms have actually fermented the dough for several hrs. Bread is commonly prevented by those affected by weight-gain and also metabolic disorder-- appropriately, possibly, in the case of industrial white loaves with a high glycaemic index.

Uk Neqas Guildford Peptide Hormonal Agents.

The 2010 National Heart Failure Audit approximated that in 100 individuals in the UK has cardiac arrest. It has an inadequate prognosis; around a 3rd of individuals admitted to medical facility with cardiac arrest pass away within one year. Management presently costs the NHS around ₤ 625 million a year.

Bikes resolve therapeutic needs and also clinical applications that can not be gotten to with existing therapy modalities. , Inherent flexibility and also structural versatility of Plasticins membrane-damaging peptides as a method for functional flexibility, Eur. , Secondary framework as well as rigidness in model proteins, Soft Matter, 2013, 9, 9548 RSC. Identification of elongation element G as the preserved cellular target of argyrin B, PLoS One, 2012, 7, e42657 CrossRef CAS. The facility of one or maybe several constrained cyclic motifs assists to decrease this negative thermodynamic account of a peptide. Of course, this benefit can just come to be apparent when the applied mode of rigidification does not interfere with binding (e.g. via steric clashes), making the reasonable style of appropriate loop frameworks a tough, yet, beneficial venture.

Peptides Are Not Enough.

The study does not show up to support a modification to medical practice. The 2010 NICE standard on the management of chronic heart failure advises that BNP (or its acquired N-terminal pro-Btype natriuretic peptide, NTproBNP) is measured in individuals with believed cardiac arrest that have no background of heart attack. Immediate referral and echocardiogram assessment are suggested for those with a BNP level over 400pg/ml. Levels listed below 100pg/ml are stated to make the diagnosis of heart failure not likely. In the friend study, the total death rate was 142 clients per 1,000 per year.

This does highlight the requirement for many years round out of competitors screening.

I assume in pharmaceutical terms the concept is to utilize SARMS rather than androgens at times, as you mention they can be selectively adjusted to create tasks differently to androgens.

Though there's no way to understand just the number of people are acquiring them, analysis of London's renowned "fatberg"-- the mass of oil as well as raw material located in the funding's sewers-- found SARMs existing in higher quantities than both MDMA as well as drug.

I would recommend that anabolics aren't detectable for months however, many will certainly have a really similar time training course to ostarine, relying on the dosage as well as method of management.

Over the past five years, on the internet look for SARMs (or "careful androgen receptor modulators", including andarine and also ostarine) have actually been climbing gradually.

The variety of situations is expected to climb with the ageing population. The research was restricted by the quality of the previous tests, the schedule of data as well as the scarcity of monitored people in general practice. Additionally, there was no obvious mechanism located that might discuss the little advantage. So, these findings must be considered tentative and also are not definitive enough to sustain a change in practice. Other study is underway that might better define the area for this examination. The importance of over expression at the mRNA level is verified by redetection of selected TUMAPs from step 3 on tumor tissue and also additionally by metrology of the TUMAPs themselves.

Biological Function And Also Classification Of Amps.

Absorption enhancers are the components which temporarily disturb the intestinal tract obstacle to improve the drug permeabilization. Instability of peptide is because of the proteolytic cleavage of the peptide backbone. NIHR is the nation's biggest funder of health and care study as well as offers the people, facilities and also modern technology that makes it possible for research study to prosper. NICE guidance advises the dimension of BNP in individuals with new-suspected heart failure; additionally, plasma NP levels normally fall after therapy.

all things Purchase AOD ">

What does MK 2866 do?

Ostarine (MK-2866) (Enobosarm) This selective androgen receptor modulator (SARM) has been studied and proven to improve lean body mass and physical function. It also increases tendon strength, ligament health, bone density and encourages collagen turn-over.

High degrees of c-peptide with a reduced degree of blood glucose might be an indication of insulin resistance, either type 2 diabetes or Cushing's disorder. Low degrees of c-peptide and also high blood sugar levels can be an indicator of type 1 diabetes.

Anavar Not Ate Cardio, What Are Human Development Hormone Supplements.

Strategic monitoring of a treatment location calls for tough decisions to be made regarding which programs to buy and which to allow go. Recognizing the rapidly altering competitive atmosphere for your drug candidates is an essential input right into these choices. It is very easy to lose track of the more comprehensive photo when a clinical program is in development as well as obtain blindsided by outside occasions. Bicyclic peptide antagonists of the serine protease plasma kallikrein inhibitors have possible application in genetic angioedema-- a dangerous illness characterised by regional swelling in subcutaneous cells and body organs. Supplying thorough remedies to sustain medication substance as well as medicine product growth programs.

Long-distance runner Kiranjeet Kaur fails dope test - Sportstar

Long-distance runner Kiranjeet Kaur fails dope test.

Posted: Wed, 04 Mar 2020 08:00:00 GMT [source]

Death prices were greater in the BNP-monitoring group than in the BNP-testing and never-tested teams. This probably shows that this tiny group were sicker than various other clients. BNP-guided treatment had no overall result on risk of fatality from any kind of reason (risk proportion 0.87, 95% confidence interval 0.73 to 1.04). Sub-group analysis discovered it lowered mortality for participants matured less than 75 years (Human Resources 0.70, 95% CI 0.53 to 0.92) but except older people.

This programme of job set out to evaluate the professional as well as cost-effectiveness of BNP-guided therapy for individuals with a brand-new medical diagnosis of heart failure between January 2007 and also March 2013. https://pharmalabglobal.com/product-category/hcg/ is a problem where the heart can not pump blood effectively sufficient to fulfill the demands of the body. It has lots of reasons, typically, previous cardiovascular disease or hypertension.

" I have actually utilized JPT's peptide swimming pools (PepMix ™) for many years currently, with wonderful complete satisfaction! Initial CMV derived peptides and also currently additionally EBV. Thus far, we have actually released data in one publication and plan numerous extra in the near future." Biobetters as well as biosuperiors are based on existing medicines however are not the same to them. They improve upon the initial and also can in many cases be extra efficient whilst supplying less side effects. They are additionally considered much less of a business danger than establishing an all new medicine. Zentraxa has to date showed their biosimiliar capabilities with Teriparatide as well as Zadaxin - drugs used mainly to deal with Osteoporosis as well as Liver disease B specifically. They leveraged this experience to style, develop and examine 'bio-superiors', medications which have enhanced medicinal properties, greater activity, decreased adverse effects and also reduced immunogenicity than the pioneer medications they look for to surpass.

XPRESIDENT, a technology system initially created in the laboratories of the pioneering immunologist Hans-Georg Rammensee and coworkers at the University of Tuebingen, and continuously boosted at the spin-off immatics biotechnologies. display screens the targeting ligand for binding to a mammalian receptor.

A C-peptide test is a blood test which is performed to figure out how much insulin your body is creating. This might work for establishing whether you have kind 1 or kind 2 diabetes or whether you have insulin resistance. DNA vaccination through RALA nanoparticles in a microneedle delivery system induces a powerful immune response against the endogenous prostate cancer cells stem cell antigen. DNA vaccination for cervical cancer; an unique innovation system of RALA moderated genetics shipment through polymeric microneedles. Scancell is establishing novel immunotherapies for the treatment of cancer cells based upon its ImmunoBody ® as well as Moditope ® modern technology platforms.

in the optimal ratio with phage preserves the tumor specificity of RGD4C/phage-based gene delivery vectors while boosting the gene distribution efficacy. Comparing archaeological lamb and also goat bones utilizing a solitary collagen peptide.

[prosemist11]

6 Benefits Of Collagen Supplements.

Comparing Archaeological Sheep And Goat Bones Utilizing A Single Collagen Peptide

Content

Sarms Are This Year's Big Muscular Tissue Drug However Are They Risk-free?

Uk Neqas Guildford Peptide Hormonal Agents.

Peptides Are Inadequate.

Biological Role And Classification Of Amps.

Unlike the firmly dealt with framework of vancomycin, a straight peptide needs to adopt a bioactive conformation upon binding to its target. Common settings of macrocyclization revealed for the instance of a common peptide chain containing 2 cysteines, a lysine, and also a glutamic acid. The peptide foundation is given in orange, carbon in black, nitrogen in blue, oxygen in red, and sulfur in yellow.

Is Ostarine a drug?

Enobosarm, also known as ostarine or MK-2866, is an investigational selective androgen receptor modulator (SARM) developed by GTx, Inc. Enobosarm.Clinical dataLegal statusUS : Investigational New DrugPharmacokinetic dataElimination half-life24 hoursIdentifiers20 more rows

It is alluring to believe outcomes for clients with cardiac arrest might be improved by titrating therapy to BNP degrees. Trials were performed in professional clinics, made use of a selection of BNP monitoring approaches, and also did not determine a BNP target to deal with. This research study is appealing, however further examination of which people with cardiac arrest may benefit is probably required prior to this ends up being basic technique. BNP surveillance might be reliable for younger individuals with minimized ventricular ejection fraction. However, the populace with heart failure that is challenging to manage is often older and also commonly have various other illness besides cardiac arrest.

Sarms Are This Year's Huge Muscle Medicine However Are They Safe?

direct-peptides.com -made Synthesis Group can offer thorough recommendations on custom peptide adjustment of dye classified peptides. For optimal results in FRET analysis, the Tide Fluor ™ dyes must be incorporated with the proprietary quenchers of the Tide Quencher ™ array. The exhaust ranges of the Tide Fluor ™ dyes have a wonderful overlap with the excitation spectra of the suggested Trend Quencher ™ acceptors, bring about an efficient satiating process. Suggested mixes of Trend Trend Fluor ™ dyes with Tide Quencher ™ peptides and their compatibility with various other dyes are detailed in Tables 1 as well as 2 below.

October 2014 saw the publication of a research, initiated by Andrew, of the effect of bread fermentation time on the digestive tract bacteria of people with Cranky Digestive tract Syndrome. This is the first part of a larger examination into the under-researched concern of just how breadmaking technique influences digestibility and nutrient availability. Bread Matters plays an advising function in this job, which will certainly offer robust proof for public-health-led advancement in milling and baking modern technologies. But it's unlikely to supply on any one of the benefits provided above unless lactic acid microorganisms have actually fermented the dough for a number of hrs. Bread is frequently stayed clear of by those affected by weight-gain and metabolic disorder-- rightly, probably, when it comes to industrial white loaves with a high glycaemic index.

Uk Neqas Guildford Peptide Hormonal Agents.

The 2010 National Cardiac arrest Audit approximated that one in 100 people in the UK has heart failure. It has a poor prognosis; around a third of people confessed to health center with heart failure pass away within one year. Monitoring presently costs the NHS around ₤ 625 million a year.

Bikes resolve healing requirements and also medical applications that can not be gotten to with existing treatment modalities. , Inherent versatility as well as structural flexibility of Plasticins membrane-damaging peptides as a strategy for useful convenience, Eur. , Secondary framework and also strength in version proteins, Soft Matter, 2013, 9, 9548 RSC. Recognition of prolongation variable G as the saved mobile target of argyrin B, PLoS One, 2012, 7, e42657 CrossRef CAS. The establishment of one or possibly several constricted cyclic themes assists to decrease this negative thermodynamic account of a peptide. Obviously, this benefit can just become noticeable when the applied setting of rigidification does not conflict with binding (e.g. through steric clashes), providing the sensible layout of appropriate loop structures a challenging, yet, beneficial venture.

Peptides Are Not Nearly Enough.

The study does not appear to sustain a change to clinical practice. The 2010 NICE standard on the administration of chronic cardiac arrest suggests that BNP (or its derivative N-terminal pro-Btype natriuretic peptide, NTproBNP) is gauged in individuals with suspected heart failure that have no history of cardiac arrest. Urgent reference and echocardiogram evaluation are advised for those with a BNP level above 400pg/ml. Levels listed below 100pg/ml are claimed to make the diagnosis of cardiac arrest not likely. In the friend study, the overall death price was 142 people per 1,000 per year.

This does highlight the demand for many years complete of competition testing.

I assume in pharmaceutical terms the concept is to utilize SARMS rather than androgens sometimes, as you point out they can be selectively adapted to create tasks in a different way to androgens.

Though there's no way to recognize just the amount of people are acquiring them, analysis of London's well-known "fatberg"-- the mass of oil and organic matter found in the funding's sewers-- located SARMs existing in greater amounts than both MDMA as well as cocaine.

I would certainly suggest that anabolics aren't observable for months however, lots of will certainly have a really comparable time training course to ostarine, depending on the dosage and also approach of administration.

Over the past 5 years, on the internet look for SARMs (or "discerning androgen receptor modulators", including andarine as well as ostarine) have actually been rising gradually.

It has been reported that Andarine is no more a target medication.

The variety of instances is anticipated to increase with the aging populace. The research was limited by the high quality of the previous tests, the schedule of data and the shortage of monitored individuals generally method. Additionally, there was no evident system found that might discuss the tiny benefit. So, these findings need to be regarded as tentative and are not conclusive enough to sustain an adjustment in technique. Various other study is underway that might much better define the location for this test. The relevance of over expression at the mRNA degree is verified by redetection of picked TUMAPs from action 3 on tumour cells and optionally by quantification of the TUMAPs themselves.

Organic Role And Also Category Of Amps.

Absorption enhancers are the components which temporarily disrupt the intestinal barrier to improve the medicine permeabilization. https://spain.direct-peptides.com/ of peptide is due to the proteolytic bosom of the peptide backbone. NIHR is the country's largest funder of wellness as well as care research as well as supplies individuals, centers and also modern technology that makes it possible for research to thrive. NICE guidance suggests the dimension of BNP in people with new-suspected cardiac arrest; even more, plasma NP degrees typically fall after therapy.

What does MK 2866 do?

Ostarine (MK-2866) (Enobosarm) This selective androgen receptor modulator (SARM) has been studied and proven to improve lean body mass and physical function. It also increases tendon strength, ligament health, bone density and encourages collagen turn-over.

High levels of c-peptide with a reduced level of blood glucose could be an indication of insulin resistance, either kind 2 diabetes mellitus or Cushing's disorder. Reduced degrees of c-peptide as well as high blood glucose degrees could be a sign of kind 1 diabetes.

Anavar Fasted Cardio, What Are Human Development Hormone Supplements.

Buy peptides Direct Norway of a treatment location requires tough choices to be made regarding which programs to purchase and also which to allow go. Understanding the swiftly changing competitive environment for your drug prospects is a vital input into these choices. It is easy to misplace the more comprehensive image when a medical program remains in progress and also obtain blindsided by external occasions. Bicyclic peptide antagonists of the serine protease plasma kallikrein inhibitors have possible application in hereditary angioedema-- a deadly disease characterised by regional swelling in subcutaneous tissue and body organs. Providing extensive remedies to support medicine compound and medication product development programs.

Long-distance runner Kiranjeet Kaur fails dope test - Sportstar

Long-distance runner Kiranjeet Kaur fails dope test.

Posted: Wed, 04 Mar 2020 08:00:00 GMT [source]

Fatality rates were higher in the BNP-monitoring group than in the BNP-testing and also never-tested groups. This most likely shows that this little group were sicker than various other individuals. BNP-guided treatment had no overall result on risk of fatality from any kind of cause (hazard ratio 0.87, 95% confidence period 0.73 to 1.04). Sub-group evaluation found it decreased mortality for individuals aged less than 75 years (Human Resources 0.70, 95% CI 0.53 to 0.92) yet except older people.

This program of job set out to assess the scientific as well as cost-effectiveness of BNP-guided therapy for people with a brand-new medical diagnosis of heart failure between January 2007 and March 2013. Cardiac arrest is a condition where the heart can not pump blood efficiently sufficient to satisfy the demands of the body. It has many causes, typically, previous cardiac arrest or high blood pressure.

RMTC Publishes Research On Ethylphenidate, Announces Funding For EPO, SARM Studies - Horse Racing News - Paulick Report

RMTC Publishes Research On Ethylphenidate, Announces Funding For EPO, SARM Studies - Horse Racing News.

Posted: Thu, 25 Oct 2018 07:00:00 GMT [source]

" I have actually utilized JPT's peptide pools (PepMix ™) for many years now, with great satisfaction! Initial CMV obtained peptides as well as currently additionally EBV. Until now, we have released information in one publication as well as plan numerous a lot more in the near future." Biobetters and biosuperiors are based on existing drugs however are not identical to them. They surpass the initial and can sometimes be extra reliable whilst supplying fewer side effects. They are also considered much less of a business risk than establishing a new drug. Zentraxa needs to day demonstrated their biosimiliar capabilities with Teriparatide as well as Zadaxin - drugs used largely to treat Weakening of bones and Hepatitis B specifically. They leveraged this experience to design, build as well as examine 'bio-superiors', medications which possess improved pharmacological properties, higher activity, decreased negative effects as well as reduced immunogenicity than the begetter drugs they seek to improve upon.

XPRESIDENT, a technology system initially produced in the laboratories of the pioneering immunologist Hans-Georg Rammensee and associates at the University of Tuebingen, and continuously enhanced at the spin-off immatics biotechnologies. displays the targeting ligand for binding to a mammalian receptor.

A C-peptide examination is a blood examination which is performed to find out how much insulin your body is producing. This may serve for establishing whether you have kind 1 or type 2 diabetic issues or whether you have insulin resistance. DNA inoculation by means of RALA nanoparticles in a microneedle shipment system generates a powerful immune response against the endogenous prostate cancer stem cell antigen. DNA vaccination for cervical cancer cells; an unique technology system of RALA mediated genetics distribution using polymeric microneedles. Scancell is creating novel immunotherapies for the therapy of cancer based upon its ImmunoBody ® and Moditope ® modern technology systems.

in the ideal ratio with phage protects the tumour uniqueness of RGD4C/phage-based genetics shipment vectors while enhancing the genetics delivery efficacy. Distinguishing between historical lamb and also goat bones making use of a solitary collagen peptide.

[naidilenatesh-blog]

AI Builder for Power Platform: At Microsoft Business Application Summit in 2019, Microsoft announced Artificial Intelligence investments in the Power Platform. The Power Platform is a low code platform that enables organizations to analyze data, act on it through applications, and automate business processes. It allows everyone, from the professional developer to the frontline worker, to participate in driving better business outcomes by building apps.

It will be available for consumption on data that already exists in the Common Data Service (CDS), the enterprise-grade datastore included in the Power Platform. AI Builder is the platform for providing a low-code user experience for every developer to create and customize their PowerApps and Flows.

You can access AI Builder from the navigation pane within the PowerApps Studio or the Microsoft Flow website. The simple wizard like experience is tailored to empower every developer in keeping with the essence of the Power Platform. You can access all your AI models in a single pane under the AI Builder ‘Models’ tab, providing key information about each model upfront in a tabular format. Clicking a particular model takes you into its details page, where other key information and actions are made available to the user. You can perform actions like publish and test the model, view the model efficacy and weights of data contributing to it or view other recommended actions from the details page.

Below are the key capabilities of AI Builder that we are announcing today:

Binary Classification

Binary Classification uses historical data to predict whether new data falls into one of two categories. AI Builder binary classification is an AI model that predicts yes/no business outcomes by learning to associate historical data patterns with historical outcomes. Based on those results, the binary classification model detects learned patterns in new data to predict future outcomes. Use the binary classification AI model to explore any business question that is answered as one of two available options, such as yes/no, true/false, pass/fail, and go/no go.

Text Classification

Text Classification tags any snippet of text based on the historical data you provide. Streamline your business by automatically tagging new text. Text classification is one of the fundamental Natural Language Processing (NLP) problems. It allows tagging of text entries with tags or labels which can be used for sentiment analysis, spam detection and routing customer requests, just to name a few examples. Use AI Builder text classification with Microsoft Flow and PowerApps to automate and scale your business processes, and free your employees to act on these insights. It can also be used as an input for other AI capabilities such as subscription user churn and predictive analysis. AI Builder can learn from your previously labeled text items, and enable you to classify unstructured text data stored in Common Data Service into your own business-specific categories.

Object Detection

Object Detection lets you count, locate, and identify selected objects within any image. You can use this model in PowerApps to extract information from pictures you take with the camera. Object detection can be used to expedite or automate business processes in multiple industries. In the retail industry, it can be used to simplify the inventory management, allowing retail leaders to focus on on-site customer relationship building. In the manufacturing industry, technicians can use it to speed up the repair process by looking up the manual for a piece of machinery by taking a picture, even if the UPC/serial number is not visible.

Business Card Reader

Business Card Reader is a component available in the PowerApps studio that lets you scan business cards. You can use this control to extract contact information from pictures of business cards or your mobile phones camera.

Form Processing

Form Processing identifies the structure of your documents based on examples you provide to extract text from any matching form. Examples might include tax forms or invoices. Form processing allows you to create and consume models that use machine learning technology to identify and extract key-value pairs and table data from form documents. Train your model and define what information needs to be retrieved from your form documents. You only need five form documents to get started. You can get results quickly, accurately and tailored to your specific content without the need for a lot of manual intervention or extensive data science expertise.

With the above announcements, AI Builder makes available Cognitive and AI offerings from Microsoft to everyone by lowering the bar to entry and learning by providing a low code experience to create and consume AI in Business apps and Processes. There by providing a true no-cliffs opportunity with a grow up story to Azure ML and Cognitive services.

We’re delighted to continue to add value to the Power Platform and realize the vision of enabling the next wave of Citizen and Pro-developers to make intelligent business applications.

Customer Testimonial

G&J Pepsi, headquartered in Cincinnati, Ohio, has more than 1,600 employees focused on manufacturing, distributing, and marketing the full line of Pepsi-Cola products. The G&J Pepsi IT team used AI Builder and PowerApps to create the next generation of their Store Audit App, enabling better mobility and efficiency for field personnel whose job it is to assess product needs on the shelves in stores.

“With AI Builder, we were able to easily build an AI model to help automatically identify and track our products using the object detection model,” said Eric McKinney, Enterprise Business Systems Manager at G&J Pepsi. “For our field worker, it’s now as simple as taking a photo and let AI builder do the rest.”

[nickismail123-blog]

Separating hype from reality: is AI the answer to effective cyber security?

Photo caption: Is AI the answer to solving the cyber security conundrum?

The cyber security threats facing businesses have increased in velocity, volume and success. The problem is getting worse and there are more data breaches than ever before. Can artificial intelligence effectively mitigate this growing list of threats, or is it simply hype generated by the AI security vendors?

As businesses begin to generate and amass large stores of data, they become the targets of hackers. These malicious actors have a range of threats in their arsenal, including phishing attacks and new ransomware strains (such as WannaCry which disabled the NHS and other organisations around the world two years ago), which can infiltrate an organisation’s network and begin harvesting that most valuable resource, data.

In this cyber war, it is clear who is on the losing side. Organisations simply can’t keep up with the volume and variety of attacks. They need an ally, but is AI the answer?

AI: the savior or false prophet

Artificial intelligence, despite its portrayal in films such as The Terminator and Transcendance, is an umbrella term that describes the process of intelligent automation; machine learning, natural language processing, cognitive computing, deep learning and robotic process automation all fall under the AI and automation categories. It’s a process of augmenting human intelligence through ones and zeros to improve various industries and practices, including cyber security.

A number of AI security vendors have jumped onto this trend –– such as Darktrace –– and are delivering AI-enabled cyber security solutions that can help organisations respond to cyber security threats in a much faster and more effective manner.

According to Mike Beck, global head of Threat Analysis at Darktrace, the company’s latest solution, the cyber AI analyst, can emulate “the human thought processes that take place when a security analyst performs an investigation on a security incident. It’s like having an extra member of staff that is an expert in their field, and reports on issues in seconds, instead of hours.”

Photo caption: Mike Beck views AI as an extra member of staff.

But how can organisations trust this? A recent report from London venture capital firm MMC, found that 40% of ‘AI startups’ in Europe don’t actually use AI. They are, in fact, jumping on the AI hype bandwagon for investment purposes –– ‘AI washing’. And while this isn’t directly linked to AI in cyber security, it is a general problem that has negative connotations for the technology. Without trust innovation will be stifled, because organisations and users will become skeptical of the technology.

Photo caption: AI, today, is less like the machines portrayed in the Terminator and more like an assimilation of ones and zeros, or code.

AI is not a silver bullet, but has a role to play in effective cyber security

Despite this report and a general lack of trust in artificial intelligence, there is a place for AI in cyber security. The technology, combined with the security basics like firewalls, data encryption and endpoint protection, can help improve the overall cyber security posture of an organisation.

Among many applications of AI in cyber security, here are three of the most useful:

1. Identify new malware strains

New strains of malware are constantly generated and artificial intelligence is very good at identifying these new types of attack, because it recognise patterns far more effectively than a human. “The technology is useful in future-proofing organisations against new malware,” stated Labhesh Patel, CTO and chief scientist at Lubio.

2. Detect anomalies

The technology can also detect anomalies that enter a business’ network, alert the relevant person and stop the attack before it has had time to harvest a significant amount of data.

3. The insider threat

AI can be used to recognise unusual patterns in employee computer usage. For example, if a download is taking place outside of office hours and this is an unusual event, an AI system would be able to stop the potential data theft in its tracks.

Photo caption: AI is not a silver bullet for cyber security, but instead, should be included as one aspect of a formidable security strategy.

One part of a robust security strategy

Artificial intelligence, combined with doing the basics right, can improve an organisation’s cyber security posture.

“AI and ML are just tools, and it’s how you use the tools that matter,” said Etienne Greeff, CTO and founder of SecureData. “There’s certainly a role for ML and AI in cyber security; for example, they are very good at dealing with lots of information and trying to understand what is normal and what’s anomalous.”

He does argue, however, that “in cyber security and in application security, there’s actually no known application of AI. There’s no autonomous agent that automatically defines threats; that does not happen yet, and it’s not very close to happening.”

AI is not a silver bullet. Instead the technology should be integrated as part of a robust, defence-in-depth security strategy that keeps data safe, mitigates cyber attacks and focuses on risk management, rather than incident response.