#Ai developers

[justdavina]

@justdavina of San Francisco Pride Collection 2025

[siriuslyobsessedwithfiction]

Who decided it was a good idea to make a "if you don't know the answer, just lie" feature in ChatGPT and other AI chatbots? When you question them, they just give you another inaccurate answer. I had to literally tell ChatGPT that it's okay if it doesn't know the answer, it can just tell me so. I rarely, and I mean rarely, use AI and it makes me more and more uncomfortable every time.

[thursdayisbetterthanfriday]

Simulations of Cybernetic Meadows - Recreating Life

Part 1 - History of Technology

The New Yorker recently put out a great article, covering the modern day conversations we're having about how "lifelike" AI systems are:

It's a great article, which covers a lot of modern discourse around the last 25 years around how we've attempted to make "lifelike" machines. In an age of incredible speed and velocity in progress, we often forget how things have ended up this way. If you look, it turns out the quest for lifelike machines has been going on for a lot longer than people might suppose.

1st Century Antiquity - Age of Inquiry - The Mortal Hephaestus:

When people think of lifelike robots, they often jump to the robots of the 20th century. The past, however, is deep and full of secrets for those who know where to look.

Hero of Alexandria was a master craftsman, and mathematician, famous for one of the world's first steam engines, and Heron's formula for calculating the area of a triangle. He also created some of the first known humanoid automata.

This video is slightly misleading, as it shows a combination of his efforts, and that of another, but Hero himself was able to create moving automata that used weights as potential energy to drive wheeled devices around a room. The Herakleidon Museum does also have videos recreating his original mechanism.

The Greeks were, in particular, prolific in their creation of automata which mimicked life.

18th Century - Artisanal Age - Dreams of Automata

The writer is a mechanical automaton, created in 1770, by the aritst Pierre Jacquet-Droz. It is a marvel of early engineering, using a series of what are called "cams" to direct a machine in the shape of a child to write sentences.

It combines the mechanical aspects of writing, with the aesthetic appearance of a child, in order to create a work of art. It is also one of the first programmable machines, using a series of replacable letters to change what words are written.

But machines with lifelike qualities are not just limited to human motions. Master British automata makers John Joseph Merlin and John Cox created an astoundingly lifelike rendition of a swan in 1773, which preened its feathers, and caught fish from a pond.

Both of these devices were driven by the creation of advanced clockwork, and machining technologies. As with today's semiconductor revolution, clockwork started off the size of rooms until it was progressively miniaturized into the palm of your hand.

While the 18th century artisans and mechanists were able to create wondrous mechanical motions, they were not truly able to replicate the mechanics of "thinking". The writer is one of the few examples of programmatic "thinking", but cannot independently operate.

20th Century - The Cybernetic Age - Adaptation and Evolution:

The advent of thermodynamics, and the rise of electronics, led to new means by which to create "living machines". In the 20th century, it also led to differing approaches to simulating life, such as cybernetics and expert systems. Walter Grey's tortoise robots are a great example of the cybernetic attempts to create complex behaviours by using simple rules in the form of both a light and touch sensor.

This robotic tortoise was able to exhibit very lifelike behaviours and reach goals without explicit instructed programming, such as with The Writer automaton.

This is a key "adaptation" and evolution from the concept of an automaton. Whereas automatons had simulated the mechanics of life though motion and muscle, robots such as the tortoise started to simulate the mechanics of thought through electronic wiring and circuitry.

The rise of the integrated circuit, and transistor, has been key to allowing modern automata/robots to reach advanced levels of ability unthinkable in pre-modern times.

Shakey represents another branch of 20th century robotics, the expert system, led by ideas similar to the 19th century automata, but updated exponentially. By using several sensors, Shakey was able to navigate around rooms and create internal representations of the rooms it was in, in order to perform objectives.

21st Century - Age of Artificial Neural Networks - Memory and Thought:

Similar to the age of automata, we have entered another age of biomimicry, this time using Artificial Neural Networks. Instead of attempting to replicate the mechanics of actions, we are instead attempting to replicate the organic mechanics of thought. One of the key ideas behind life is that it is self-sustaining - it operates all on its own. 18th/19th century automata weren't able to do this and 20th century automata/robotics did to a certain extent, but were often still viewed as machines with function.

Sony's AIBO represents a more "lifelike" kind of design - where the entire system is driven by "curiosity" rather than by specific instruction. While it posseses some subroutines, similar to its 20th century counterparts, it surpasses them in how it can also adaptively learn new behaviours to better suit its surroundings, both in practical settings (finding its way around) and social settings (recognising people, and interacting with them in a socially "successful" way). The fields of reinforcement learning and artificial neural networks allow for complex behaviours to be simulated for the first time. Sony's AIBO is an excellent example of this in practice, with the robotic dog able to learn through positive reinforcement verbally, or via tactile methods, to promote certain behaviours.

It can even use computer vision capabilities to recognise specific users on sight, as well as allowing it to create its own internal model of the world around it. Much like the 18th to 19th century automata, AIBO also attempts to replicate the actions of life itself, with its design, and actions, replicating that of a puppy or small dog. Unlike the automatons of old, however, the use of tactile, vision and sound sensors allow its form to play some function in its operation aside from aesthetics.

Cybernetic Meadows - The Future?

As we endow robotics systems with ever greater ability, how will we interact with them in the future, and how lifelike will they truly become? Humanity has always, in some form or another, sought to replicate life itself through the medium of art and engineering. Only in time will we see the results.

[smitpatel1420]

List of most reputed artificial intelligence consulting firms

Discover the best AI consulting firms for 2024 known for their outstanding AI solutions, creative methods, and satisfied clients. These companies are leaders in the field, offering a wide range of services to assist companies in utilising AI to increase productivity and growth.

Businesses are looking to top AI consulting organisations for their expertise as the use of artificial intelligence grows. With a predicted growth rate of 37.3%, the AI market, which was valued at $207 billion in 2023, is expected to reach $1,394 billion by 2029. The top 10 reputable AI consulting firms for 2024 are listed below; they are praised for their inventiveness, excellence, and satisfied clients.

To fully utilise artificial intelligence, choosing the correct AI consulting firm is crucial. The businesses on the above list are leaders in their respective fields and each has special skills and advantages. By collaborating with these leading AI consulting companies, companies may successfully incorporate AI technologies and meet their objectives for digital transformation.

[technon899]

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[aiupdates]

🌐 Welcome to the forefront of artificial intelligence innovation AdeptAI

Progressive ML research and product lab, committed to shaping the future of general intelligence.

[redbixbite-solutions]

Everything You Need to Know About Machine Learning

Ready to step into the world of possibilities with machine learning? Learn all about machine learning and its cutting-edge technology. From what do you need to learn before using it to where it is applicable and their types, join us as we reveal the secrets. Read along for everything you need to know about Machine Learning!

What is Machine Learning?

Machine Learning is a field of study within artificial intelligence (AI) that concentrates on creating algorithms and models which enable computers to learn from data and make predictions or decisions without being explicitly programmed. The process involves training a computer system using copious amounts of data to identify patterns, extract valuable information, and make precise predictions or decisions.

Fundamentally, machine Learning relies on statistical techniques and algorithms to analyze data and discover patterns or connections. These algorithms utilize mathematical models to process and interpret data. Revealing significant insights that can be utilized across various applications by different AI ML services.

What do you need to know for Machine Learning?

You can explore the exciting world of machine learning without being an expert mathematician or computer scientist. However, a  basic understanding of statistics, programming, and data manipulation will benefit you. Machine learning involves exploring patterns in data, making predictions, and automating tasks.

 It has the potential to revolutionize industries. Moreover, it can improve healthcare and enhance our daily lives. Whether you are a beginner or a seasoned professional embracing machine learning can unlock numerous opportunities and empower you to solve complex problems with intelligent algorithms.

Types of Machine Learning

Let’s learn all about machine learning and know about its types.

Supervised Learning

Supervise­d learning resemble­s having a wise mentor guiding you eve­ry step of the way. In this approach, a machine le­arning model is trained using labele­d data wherein the de­sired outcome is already known.

The­ model gains knowledge from the­se provided example­s and can accurately predict or classify new, unse­en data. It serves as a highly e­ffective tool for tasks such as dete­cting spam, analyzing sentiment, and recognizing image­s.

Unsupervised Learning

In the re­alm of unsupervised learning, machine­s are granted the autonomy to e­xplore and unveil patterns inde­pendently. This methodology mainly ope­rates with unlabeled data, whe­re models strive to une­arth concealed structures or re­lationships within the information.

It can be likene­d to solving a puzzle without prior knowledge of what the­ final image should depict. Unsupervise­d learning finds frequent application in dive­rse areas such as clustering, anomaly de­tection, and recommendation syste­ms.

Reinforcement Learning

Reinforce­ment learning draws inspiration from the way humans le­arn through trial and error. In this approach, a machine learning mode­l interacts with an environment and acquire­s knowledge to make de­cisions based on positive or negative­ feedback, refe­rred to as rewards.

It's akin to teaching a dog ne­w tricks by rewarding good behavior. Reinforce­ment learning finds exte­nsive applications in areas such as robotics, game playing, and autonomous ve­hicles.

Machine Learning Process

Now that the diffe­rent types of machine le­arning have been e­xplained, we can delve­ into understanding the encompassing proce­ss involved.

To begin with, one­ must gather and prepare the­ appropriate data. High-quality data is the foundation of any triumph in a machine le­arning project.

Afterward, one­ should proceed by sele­cting an appropriate algorithm or model that aligns with their spe­cific task and data type. It is worth noting that the market offe­rs a myriad of algorithms, each possessing unique stre­ngths and weaknesses.

Next, the machine goes through the training phase. The model learns from making adjustments to its internal parameters and labeled data. This helps in minimizing errors and improves its accuracy.

Evaluation of the machine’s performance is a significant step. It helps assess machines' ability to generalize new and unforeseen data. Different types of metrics are used for the assessment. It includes measuring accuracy, recall, precision, and other performance indicators.

The last step is to test the machine for real word scenario predictions and decision-making. This is where we get the result of our investment. It helps automate the process, make accurate forecasts, and offer valuable insights. Using the same way. RedBixbite offers solutions like DOCBrains, Orionzi, SmileeBrains, and E-Governance for industries like agriculture, manufacturing, banking and finance, healthcare, public sector and government, travel transportation and logistics, and retail and consumer goods.

Applications of Machine Learning

Do you want to know all about machine learning? Then you should know where it is applicable.

Natural Language Processing (NLP)- One are­a where machine le­arning significantly impacts is Natural Language Processing (NLP). It enables various applications like­ language translation, sentiment analysis, chatbots, and voice­ assistants. Using the prowess of machine le­arning, NLP systems can continuously learn and adapt to enhance­ their understanding of human language ove­r time.

Computer Vision- Computer Vision pre­sents an intriguing application of machine learning. It involve­s training computers to interpret and compre­hend visual information, encompassing images and vide­os. By utilizing machine learning algorithms, computers gain the­ capability to identify objects, faces, and ge­stures, resulting in the de­velopment of applications like facial re­cognition, object detection, and autonomous ve­hicles.

Recommendation Systems- Recomme­ndation systems have become­ an essential part of our eve­ryday lives, with machine learning playing a crucial role­ in their developme­nt. These systems care­fully analyze user prefe­rences, behaviors, and patte­rns to offer personalized re­commendations spanning various domains like movies, music, e­-commerce products, and news article­s.

Fraud Detection- Fraud dete­ction poses a critical concern for businesse­s. In this realm, machine learning has e­merged as a game-change­r. By meticulously analyzing vast amounts of data and swiftly detecting anomalie­s, machine learning models can ide­ntify fraudulent activities in real-time­.

Healthcare- Machine learning has also made great progress in the healthcare sector. It has helped doctors and healthcare professionals make precise and timely decisions by diagnosing diseases and predicting patient outcomes. Through the analysis of patient data, machine learning algorithms can detect patterns and anticipate possible health risks, ultimately resulting in early interventions and enhanced patient care.

In today's fast-paced te­chnological landscape, the field of artificial inte­lligence (AI) has eme­rged as a groundbreaking force, re­volutionizing various industries. As a specialized AI de­velopment company, our expe­rtise lies in machine le­arning—a subset of AI that entails creating syste­ms capable of learning and making predictions or de­cisions without explicit programming.

Machine learning's wide­spread applications across multiple domains have transforme­d businesses' operations and significantly e­nhanced overall efficie­ncy.

[atcuality1]

Transform Your Online Business with AI-First Development - Atcuality

Atcuality is your partner for building innovative, reliable, and scalable ecommerce platforms that lead the market. We specialize in building custom digital solutions using AI, modern frameworks, and intuitive UI/UX that drive customer loyalty and sales. Our signature innovation—the ecommerce AI assistant—helps brands harness real-time data to personalize content, automate customer interactions, and make intelligent business decisions. Whether you're in retail, fashion, or direct-to-consumer subscriptions, our AI-powered tools bring automation and precision to every touchpoint. We combine creativity with code to turn your online presence into a growth engine. Choose Atcuality to empower your digital store with the next generation of AI-enabled ecommerce solutions.

[justdavina]

@justdavina of San Francisco AI Fashion 2025

[larrypamela02]

Revolutionizing Industries with Advanced AI Development

Revolutionizing industries with advanced AI development means harnessing the power of intelligent technologies to automate processes, enhance decision-making, and drive innovation. From predictive analytics and computer vision to NLP and custom machine learning models, our AI solutions are tailored to solve real-world challenges across sectors like healthcare, finance, retail, and manufacturing empowering businesses to operate smarter, faster, and more efficiently.

[dmgod]

How Custom AI Development Can Boost Business Performance

In 2025, artificial intelligence is not just a buzzword—it’s a core driver of transformation across industries. While off-the-shelf AI tools offer quick solutions, the real competitive advantage comes from AI systems tailored to your business’s unique needs. Partnering with a custom AI development company or leveraging specialized AI development services can unlock new levels of efficiency, accuracy, and growth for your organization. Here’s how custom AI development is reshaping business performance and why investing in bespoke solutions from leading AI software development companies is a strategic move.

The Power of Custom AI: Beyond Generic Solutions

Off-the-shelf AI tools can automate basic tasks, but they’re built for broad use and may not align with your specific workflows or data. In contrast, custom AI development—delivered by an experienced AI development company—means designing, training, and deploying AI models that precisely match your business goals, processes, and datasets.

Custom AI solutions enable:

Superior accuracy and relevance, as models are trained on your proprietary data

Deeper integration with existing platforms and workflows

Flexibility to evolve and scale as your business grows

For example, a B2B sales organization might see limited results from a generic lead scoring tool. However, by working with an artificial intelligence development company to build a custom model trained on internal sales data, deal histories, and industry-specific features, they can achieve far more accurate predictions—translating into higher conversion rates and increased revenue.

Key Benefits of Custom AI for Business Performance

1. Enhanced Efficiency and Productivity

Custom AI automates repetitive, time-consuming tasks, freeing your team to focus on higher-value work. Whether it’s automating document processing, optimizing supply chains, or streamlining customer service, AI software development services deliver solutions that reduce bottlenecks and minimize human error.

2. Actionable Insights and Better Decision-Making

AI excels at analyzing vast datasets to uncover trends, patterns, and actionable insights. With a custom solution from a top AI development company, you can make faster, data-driven decisions—improving everything from inventory management to marketing strategies.

3. Personalization and Customer Engagement

Custom AI enables hyper-personalized experiences, from tailored product recommendations to dynamic pricing. AI application development services can help you build systems that adapt in real time to user behavior, driving engagement and loyalty.

4. Cost Savings and Long-Term ROI

While the upfront investment in developing AI software is higher than purchasing a generic solution, the long-term savings are significant. Custom AI reduces reliance on third-party APIs, minimizes recurring fees, and is designed to scale with your business—delivering a strong return on investment over time.

5. Competitive Advantage and Future-Proofing

Bespoke AI solutions give you a technological edge, allowing you to innovate faster and respond to market changes more effectively. As your industry evolves, a custom AI development company can continuously refine your models, ensuring your business stays ahead of the curve.

When Does Your Business Need Custom AI?

Custom AI is ideal when:

Off-the-shelf solutions fall short in accuracy or relevance for your use case

Your business addresses a particular niche or manages processes that differ from the standard.

The financial impact of improved performance is significant (e.g., sales optimization, fraud detection, or predictive maintenance)

You require full control over data privacy, security, and integration

Leading AI development firms and AI app development companies can assess your needs and recommend the right approach—whether that’s a fully custom build, a hybrid solution, or enhancing existing tools.

The Custom AI Development Process

A typical custom AI project with a reputable AI development service or AI software development company involves:

Analysis Phase: Gaining insight into your company’s aims, information assets, and areas of concern.

Model Design and Training: Developing AI models tailored to your requirements and training them on your proprietary data.

Integration: Seamlessly embedding AI into your existing systems and workflows.

Testing and Validation: Ensuring the solution performs accurately and reliably in real-world scenarios.

Continuous Improvement: Refining models based on new data and evolving business needs.

Real-World Examples of Custom AI Impact

Retail: Custom image recognition models help ecommerce businesses detect counterfeit products or automate product tagging, improving trust and operational efficiency.

Logistics: AI-powered tracking and predictive analytics optimize delivery routes, reduce delays, and enhance customer satisfaction.

Finance: Tailored AI models process specialized forms, detect fraud, and automate compliance checks, saving time and reducing risk.

Choosing the Right AI Development Partner

The benefits of bespoke AI can only be achieved by partnering with the right provider. Look for top AI development companies or AI software development services with:

Proven experience in your industry

Strong data science and engineering expertise

Transparent processes and ongoing support

A track record of delivering scalable, secure, and high-performing AI solutions

Conclusion

Custom AI development is a powerful lever for business growth in 2025 and beyond. By working with a trusted AI development company or artificial intelligence software development firm, you can unlock tailored solutions that boost efficiency, drive innovation, and secure a lasting competitive advantage. As industries continue to embrace AI, those who invest in custom, business-aligned AI will be best positioned to lead in the digital age.

[jackcloudblog]

Empower Your Business with Botpress AI – Developed by Experts

Sparkout Tech Solutions Inc. offers advanced Botpress AI development services to build intelligent, customizable chatbots that seamlessly integrate with web, mobile, and enterprise platforms. From conversational design to workflow automation, we help businesses launch smart, scalable bots with minimal effort.

[ponder-us]

On playing Jenga with Agentic AIs

JB: A while back, on May 31st, I wrote a blog post entitled, “Get Ready of AgenticAI to Disrupt the Disrupters.” Well, it seems like that story thread has a new chapter. In a Fast Company article titled “The internet of agents is rising fast, and publishers are nowhere near ready.” author Pete Pachal lays out how agents, rather than humans sent into online stores to make purchases will quickly…