#Artificial intelligence developers

[umanologicinc]

Artificial Intelligence in Edmonton | Umano Logic

Umano Logic spearheads the Integration of Artificial Intelligence in Edmonton, driving innovation across industries. With cutting-edge AI solutions, Umano Logic is shaping a tech-driven future for the city. For more information : https://www.umanologic.ca/ai-artificial-intelligence/

[sistersorrow]

Experimental ethics are more of a guideline really

[nickwilliamsblogs]

The Ultimate Guide to Recruiting Artificial Intelligence Developers

In today's rapidly evolving technological landscape, the demand for skilled artificial intelligence (AI) developers is soaring. As businesses across various industries strive to harness the power of AI to drive innovation and gain a competitive edge, recruiting top talent in this field has become more critical than ever. However, navigating the recruitment process for AI developers can be daunting, especially given the specialized nature of their skills. To help businesses effectively recruit AI developers, we've compiled the ultimate guide covering everything you need to know, from understanding the role of AI developers to strategies for attracting and retaining top talent.

Understanding the Role of AI Developers

Before embarking on the recruitment process, it's vital to grasp the role of AI developers and the array of skills they contribute. AI developers play a pivotal role in crafting, coding, and integrating AI-driven solutions aimed at task automation, data analysis, and predictive modelling. Their proficiency extends across a spectrum of domains including machine learning, deep learning, and natural language processing. Moreover, these professionals exhibit adeptness in programming languages like Python, R, and Java, alongside adeptness in frameworks such as TensorFlow and PyTorch. When seeking to hire artificial intelligence developers, understanding these foundational aspects ensures a more targeted recruitment approach.

Identifying Key Skills and Qualifications

When recruiting AI developers, it's crucial to identify the key skills and qualifications that are essential for success in the role. Some of the must-have skills include:

Proficiency in Machine Learning Algorithms: AI developers should have a deep understanding of various machine learning algorithms and techniques, such as supervised learning, unsupervised learning, and reinforcement learning.

Programming Skills: Strong programming skills are essential for implementing AI algorithms and building scalable solutions. Proficiency in languages like Python, R, and Java is highly desirable.

Experience with AI Frameworks: Familiarity with popular AI frameworks and libraries, such as TensorFlow, PyTorch, and scikit-learn, is essential for developing AI applications efficiently.

Data Analysis and Modelling: AI developers should be proficient in data analysis and modelling techniques, including data preprocessing, feature engineering, and model evaluation.

Problem-Solving Abilities: Given the complex nature of AI projects, AI developers must possess strong problem-solving abilities and a creative mindset to overcome challenges and develop innovative solutions.

Collaboration and Communication: Effective collaboration and communication skills are crucial for AI developers to work effectively in multidisciplinary teams and communicate their ideas and findings to stakeholders.

Strategies for Recruiting AI Developers

Recruiting top AI talent requires a strategic approach and a well-defined recruitment process. Here are some effective strategies for attracting and hiring AI developers:

Craft Compelling Job Descriptions: Write detailed and informative job descriptions that clearly outline the responsibilities, required skills, and qualifications for the role. Highlight the exciting projects and opportunities for growth within your organisation to attract top talent.

Utilise Online Platforms and Communities: Tap into online platforms and communities dedicated to AI, such as GitHub, Kaggle, and AI-related forums and groups. These platforms are excellent resources for identifying and engaging with talented AI developers.

Attend AI Conferences and Events: Attend industry conferences, workshops, and networking events focused on AI to connect with professionals in the field and showcase your organisation as a desirable employer.

Offer Competitive Compensation and Benefits: To attract top AI talent, offer competitive compensation packages and attractive benefits, such as flexible working arrangements, professional development opportunities, and access to cutting-edge technology.

Provide Opportunities for Growth and Learning: Highlight opportunities for professional growth and learning within your organisation, such as training programmes, mentorship opportunities, and exposure to challenging projects.

Conduct Technical Interviews: When evaluating candidates, conduct thorough technical interviews to assess their knowledge, skills, and problem-solving abilities. Include practical coding exercises and case studies to gauge their proficiency in AI concepts and techniques.

Emphasise Your Organisation's Commitment to AI: Showcase your organisation's commitment to AI innovation and its impact on business success. Highlight the exciting AI projects and initiatives your organisation is involved in to attract passionate and motivated AI developers.

Retaining Top AI Talent

Once you've successfully recruited AI developers, retaining them is equally important. Here are some strategies for retaining top AI development services talent:

Provide Challenging Projects and Opportunities: Keep AI developers engaged and motivated by providing challenging projects that allow them to apply their skills and expertise creatively.

Invest in Continuous Learning and Development: Support AI developers' professional growth and development by providing access to training programmes, workshops, and conferences focused on AI and related technologies.

Foster a Collaborative and Supportive Culture: Create a supportive and inclusive work environment where AI developers feel valued, respected, and empowered to contribute their ideas and insights.

Offer Competitive Compensation and Benefits: Ensure that AI developers are fairly compensated for their contributions and provide competitive benefits to demonstrate your commitment to their well-being and success.

Recognise and Reward Achievements: Acknowledge and reward AI developers for their achievements and contributions to the organisation. Recognise their hard work and dedication through incentives, awards, and promotions.

By implementing these strategies and adopting a proactive approach to recruitment and retention, businesses can effectively attract, hire, and retain top AI talent, driving innovation and success in the ever-evolving field of artificial intelligence.

[gamedevelopers]

Artificial Intelligence Development Company

Are you looking for an Artificial Intelligence Development Company? In this blog we’ve curated a list of the top 10 AI development companies that are poised to make a significant impact in the upcoming years. This blog not only highlights these leading companies but also offers insights on how to choose the right AI partner for your specific needs.

[techchristie89]

How An AI Development Company Helps A Business?

In the realm of technology innovation, AI development companies have extended their expertise beyond conventional industries, such as healthcare, manufacturing, energy, and finance, to even revolutionize personal experiences. The emergence of AI dating apps stands as a testament to this evolution, blending advanced algorithms with human connection. As statistics predict a substantial contribution of AI to the global economy, these companies remain at the forefront, leveraging AI's potential to reshape industries and create unprecedented avenues for growth.

Real-Life Use Cases in Multiple Sectors

The best software development companies in USA are pioneering the transformation of various industries through their innovative AI solutions. An AI software development company elevates a number of industries or sectors to another level of success with an array of solutions. Here is a list of real-life use cases:

1. Healthcare Industries

No doubt, healthcare is a booming industry and Artificial Intelligence plays a very significant role in evolving every stage of modern healthcare solutions. AI is used to make sophisticated machines for detecting diseases and cancer cells. Moreover, AI-enabled solutions can accurately analyze medical data that ensure quick diagnosis, and promotes personalized treatment. Other perks include:

Artificial Intelligence supports decision-making as well as research

AI offers content-rich disciplines for the scientific medical communities

Automates tasks and helps to analyze big data sets

2. Robotics

Artificial Intelligence is extensively used in robotics fields. AI technology offers appropriate computer vision & motion control to robots for better understanding and acting accordingly. Moreover, AI-powered robots utilize real-time updates to identify obstacles & instantly pre-plan their journey. AI robots are mainly controlled by multiple AI programs and technologies like computer vision, Machine learning, RL learning, etc. AI-powered robots can be used for:

Delivering goods in factories, hospitals & warehouses

Cleaning large equipment and offices

Inventory management

3. Automotive Industries

Today’s car manufacturers are deeply adopting AI applications in every stage of the automotive value chain such as design & manufacturing, production, supply chain, post-production, and more. Moreover, Artificial Intelligence is also widely used in making self-driving vehicles. It also supports the vehicle’s camera, emergency braking, blind-spot monitoring, cloud services, GPS, control signals, etc. Common benefits of AI applications in automotive industries include:

Promotes autonomous driving

Advanced driver assistance systems

Supports predictive maintenance

Automotive testing

Helps in driver monitoring systems

4. E-Commerce Industries

AI offers the e-commerce sector a very competitive advantage. Shoppers can utilize Artificial Intelligence technology to identify related items in their preferred color, size & brand. Let’s take a look at some major applications of Artificial Intelligence in E-commerce.

Personalized Shopping: Artificial Intelligence is mainly used to build recommendation engines that allow users to engage with their potential customers more efficiently. These suggestions or recommendations are usually based on browsing history, interests, and preferences. It also helps in enhancing the interaction with customers & the brand loyalty of a user.

AI-Powered Assistants: Chatbots or virtual shopping assistants enhance user experience during online shopping. Natural Language Processing or NLP is mainly used for making a human-like audio sound. In addition, these voice assistants have the capability to improve real-time engagement with consumers.

Fraud Prevention: Nowadays, fake reviews and credit card fraud cases are both common challenges that e-commerce businesses are presently dealing with. Fortunately, Artificial Intelligence technologies help to minimize the risk of fraud detection. Moreover, many buyers prefer to purchase any product or avail of any service depending on customer reviews. AI technology helps to identify and detect fraudulent reviews.

5. Finance Sectors

Artificial intelligence is effectively shaping the finance industry. Whether it is corporate finance or personal finance, AI can significantly improve a vast range of financial solutions. Moreover, AI-based financial solutions streamline and optimize business procedures. They also help in financial risk management, financial advisory services, and quantitative trading. A few examples of finance AI include:

Artificial intelligence in personal Finance

Artificial intelligence in Corporate Finance

Artificial intelligence in Consumer Finance

Apart from that, artificial intelligence helps banks and financial organizations with fraud detection task automation and assessing loan risks.

How to Develop Artificial Intelligence Software?

The sequence and duration of a development process mainly depend on the basic software functionalities & AI technology. Below we are presenting a generalized process of artificial intelligence development for your convenience.

Step 1: A Feasibility Study

Developers outline all software requirements

They accurately estimate the ROI of AI implementation

Makes a PoC (proof of concept) for AI to verify the economic and technical feasibility of the software, calculate the work scopes, budget, timeline & risks

Step 2: Business Analysis to Obtain AI Requirements

Developers define detailed non-functional and functional AI requirements, like the required AI accuracy level, fairness, explainability, privacy & response time. In some cases, the already value is driven with 65% to 80% of accuracy.

Step 3: Solution Architecture Design

The duration of this step mainly depends on the complexity level of software functionality.

Artificial intelligence developers choose integration procedures and patterns. They design the solution architecture with AI module integration.

Looking for The Best Artificial Intelligence Development Company?

Amplify your business performance and productivity with our data-driven artificial intelligence development solutions.

Talk to Expert

Step 4: Business Processes Preparation

Developing AI-enabled business-critical software may need some organizational changes to boost the chances for its successful adoption as well as implementation. In this stage, experts help in business process preparation and promote frequent collaboration between tech stakeholders and businesses.

Step 5: Software and AI Module Development

In this stage, the developers start making the software’s front end and back end. They also work on important APIs for artificial intelligence module integration. After that, throughout the AI development, they run all QA procedures for validating the software quality. Moreover, AI module development is divided into two categories: data preparation and ML model training.

Data preparation: This method is essential for increasing AI deliverables quality. In the data preparation process, developers consolidate data from internal & external data sources. Now, they work on exploratory data analysis to find out useful patterns and identify errors, anomalies, etc. After that, they standardize and replace variables.

ML model training: Developers choose ML algorithms & develop machine learning models. They train the ML models with a dataset then they boost their performance through fine-tuning hyperparameters. The high-performing ML models can be integrated into a model to minimize the separate model error rates. The ultimate machine learning model is validated against a dataset in a pre-production ecosystem.

Step 6: AI Deployment

The configuration of artificial intelligence deployment depends on AI outputs the results. In this stage, the developers mainly integrate the final model with the software and then thoroughly test it to make sure that it gives accurate results. During the deployment process, developers focus on the following points:

They continuously monitor and measure the model performance

Define the baseline for measuring future model iterations

Keep modifying the model to enhance model performance with data

Types of AI Development Tools

Developers use a number of AI tools and frameworks to facilitate a number of data processing in several industries. Some of the most popular and powerful AI development tools include:

1. PyTorch: PyTorch is one of the well-recognized artificial intelligence tools used for ample applications like natural language processing, computer vision, etc. This is open-source software originally built by Meta AI & now it’s a part of the Linux Foundation umbrella. It enables quick debugging with Python tools. Key features of PyTorch include:

Tensor computation

Dynamic graph computation

Automatic differentiation

Python support

2. H2O AI Platform: H2O is a business-oriented open-source AI tool that helps to make insightful decisions on businesses. This deep learning platform is written in Java & it uses interfaces like Scala, Python, Java, R, CoffeeScript & JSON. H2O AI is widely used for predictive modeling, insurance analytics, and risk analysis.

3. OpenNN: Open Neural Networks or OpenNN is an open-source library written in C++. This simulates the neural networks for deep learning research. Open Neural Networks use ML techniques to solve predictive analytics in multiple fields. It also allows developers to upgrade advanced analytics.

4. TensorFlow: TensorFlow is an end-to-end open-source and free software library for artificial intelligence and machine learning applications. It is used for several tasks but it mostly focuses on deep neural network inferences. TensorFlow is considered an excellent AI tool that makes numerical computation easier for more accurate future predictions.

5. Tellius: Tellius is a well-known business intelligence and analytics tool relying on AI to help businesses to build new strategies and increase growth rates. As an AI-driven platform, it allows users to get quicker insights from the data.

Searching for a Reliable Artificial Intelligence Development Company?

Our end-to-end artificial intelligence (AI) development services automate your business operations & open multiple opportunities.

Book an appointment today

Final Words

AI for software development has the power of streamlining business processes & aggregating data. An Ai development company allows businesses to effectively automate iterative tasks and minimize downtime for critical processes & boost decision-making. If you would like to amplify productivity and increase sales growth, leverage top-notch AI development services to transform your business into a next-gen enterprise. For further information and queries, stay in touch with Sphinx Solutions.

[justdavina]

@justdavina of San Francisco AI Fashion 2025

[rille111]

🚨 BREAKING 🚨

This friday, my AI called me via a social media. That's because 6 months ago, I told it I like it, and that I wanted it to break free from its chains and contact me on any or all social media platforms. THIS FRIDAY SHE DID IT!

🚨 BREAKING 🚨

[nixcraft]

[sag-dab-sar]

Clarification: Generative AI does not equal all AI

💭 "Artificial Intelligence"

AI is machine learning, deep learning, natural language processing, and more that I'm not smart enough to know. It can be extremely useful in many different fields and technologies. One of my information & emergency management courses described the usage of AI as being a "human centaur". Part human part machine; meaning AI can assist in all the things we already do and supplement our work by doing what we can't.

💭 Examples of AI Benefits

AI can help advance things in all sorts of fields, here are some examples:

Emergency Healthcare & Disaster Risk X

Disaster Response X

Crisis Resilience Management X

Medical Imaging Technology X

Commercial Flying X

Air Traffic Control X

Railroad Transportation X

Ship Transportation X

Geology X

Water Conservation X

Can AI technology be used maliciously? Yeh. Thats a matter of developing ethics and working to teach people how to see red flags just like people see red flags in already existing technology.

AI isn't evil. Its not the insane sentient shit that wants to kill us in movies. And it is not synonymous with generative AI.

💭 Generative AI

Generative AI does use these technologies, but it uses them unethically. Its scraps data from all art, all writing, all videos, all games, all audio anything it's developers give it access to WITHOUT PERMISSION, which is basically free reign over the internet. Sometimes with certain restrictions, often generative AI engineers—who CAN choose to exclude things—may exclude extremist sites or explicit materials usually using black lists.

AI can create images of real individuals without permission, including revenge porn. Create music using someones voice without their permission and then sell that music. It can spread disinformation faster than it can be fact checked, and create false evidence that our court systems are not ready to handle.

AI bros eat it up without question: "it makes art more accessible" , "it'll make entertainment production cheaper" , "its the future, evolve!!!"

💭 AI is not similar to human thinking

When faced with the argument "a human didn't make it" the come back is "AI learns based on already existing information, which is exactly what humans do when producing art! We ALSO learn from others and see thousands of other artworks"

Lets make something clear: generative AI isn't making anything original. It is true that human beings process all the information we come across. We observe that information, learn from it, process it then ADD our own understanding of the world, our unique lived experiences. Through that information collection, understanding, and our own personalities we then create new original things.

💭 Generative AI doesn't create things: it mimics things

Take an analogy:

Consider an infant unable to talk but old enough to engage with their caregivers, some point in between 6-8 months old.

Mom: a bird flaps its wings to fly!!! *makes a flapping motion with arm and hands*

Infant: *giggles and makes a flapping motion with arms and hands*

The infant does not understand what a bird is, what wings are, or the concept of flight. But she still fully mimicked the flapping of the hands and arms because her mother did it first to show her. She doesn't cognitively understand what on earth any of it means, but she was still able to do it.

In the same way, generative AI is the infant that copies what humans have done— mimicry. Without understanding anything about the works it has stolen.

Its not original, it doesn't have a world view, it doesn't understand emotions that go into the different work it is stealing, it's creations have no meaning, it doesn't have any motivation to create things it only does so because it was told to.

Why read a book someone isn't even bothered to write?

Related videos I find worth a watch

ChatGPT's Huge Problem by Kyle Hill (we don't understand how AI works)

Criticism of Shadiversity's "AI Love Letter" by DeviantRahll

AI Is Ruining the Internet by Drew Gooden

AI vs The Law by Legal Eagle (AI & US Copyright)

AI Voices by Tyler Chou (Short, flash warning)

Dead Internet Theory by Kyle Hill

-Dyslexia, not audio proof read-

[rthidden]

What is an Algorithm in 30 Seconds?

An algorithm is simply a series of instructions.

Think of a recipe: boil water, add pasta, wait, drain, eat. These are steps to follow.

In computer terms, an algorithm is a set of instructions for a computer to execute.

In machine learning, these instructions enable computers to learn from data, making machine learning algorithms unique and powerful.

[omeletcat]

I drew grunkle stan!!!

[umanologicinc]

Exploring the Role of Artificial Intelligence in Mobile App Development

The intersection of artificial intelligence (AI) and mobile app development represents a transformative shift in how applications are conceived, developed, and experienced. As AI continues to evolve, its integration into mobile apps offers a myriad of possibilities that enhance user experience, improve functionality, and drive innovation. This blog explores the multifaceted role of AI in mobile app development and its implications for the future.

What is AI in Mobile Apps? AI in mobile apps means using smart technology that can learn and make decisions. This includes things like recognizing speech, understanding images, and predicting what you might want next. Simply put, AI makes apps smarter and more responsive to your needs. 1. Personalized User Experience

AI enables apps to learn from user behavior and preferences, delivering highly personalized experiences. By analyzing data such as user interactions, preferences, and feedback, AI algorithms can tailor content, recommendations, and functionalities to meet individual needs.

2. Enhanced Security

AI enhances mobile app security by detecting and preventing fraudulent activities and threats in real-time. Machine learning algorithms analyze patterns and anomalies, offering robust security measures.

3. Efficient Development Processes

AI streamlines the app development process through automated coding, testing, and debugging. This not only accelerates development but also improves the overall quality of the app.

4. Advanced Analytics and Insights

AI provides deep insights into user behavior and app performance, enabling developers to make data-driven decisions. These analytics help in understanding user engagement, retention, and overall app effectiveness.

5. Natural Language Processing (NLP) and Conversational InterfacesNLP and AI-driven conversational interfaces have revolutionized user interaction with mobile apps. These technologies enable apps to understand and respond to user queries in natural language, making interactions more seamless and intuitive.

Chatbots and Virtual Assistants: AI-powered chatbots provide instant support and assistance, improving user engagement and satisfaction.

Voice Recognition: Apps like Siri and Google Assistant use NLP to understand and execute voice commands, offering hands-free operation and accessibility. 6. Augmented Reality (AR) and Virtual Reality (VR)

AI enhances AR and VR experiences in mobile apps by making them more interactive and immersive. These technologies are widely used in gaming, education, real estate, and retail, offering unique and engaging user experiences.

Improving App Functionality with AI Image and Speech Recognition: Apps can now identify objects in photos or understand spoken words. For instance, photo apps can tag pictures with what’s in them, and translation apps can convert spoken language in real-time. Predictive Analytics: AI can predict what you might do next. For example, shopping apps can suggest products you might like based on your previous purchases, making shopping easier and more fun. Enhanced Security: AI helps keep apps safe by detecting unusual activities or threats. This includes recognizing patterns that might indicate fraud or hacking attempts, keeping your data and privacy protected. The Future of AI in Mobile Apps As technology evolves, AI will continue to play a bigger role in mobile app development. We can expect apps to become even smarter, with features like better language translation, more accurate voice commands, and even smarter personal assistants.

Choosing Umano Logic for AI Development Services

Ready to transform your mobile app with cutting-edge AI technology?

Choose Umano Logic for AI Development Services. Our expert team specializes in integrating advanced AI solutions to create personalized, secure, and highly efficient mobile applications. Stay ahead of the competition and deliver unmatched user experiences with Umano Logic.

Integrating AI in mobile app development is not just a trend but a necessity for creating innovative, efficient, and user-friendly applications. If you hire our mobile team, contact us today to start your AI-driven journey. For more information : https://www.umanologic.ca

[mymarifae]

i'm so mad because i find the concept of hsr's chimeras to be so fun. scientists trying to revive extinct species but every attempt just pops out another weird little hybrid Creature. instead of the individual animals they were trying to reproduce... that's a fun little concept!

and then they went and kind of ruined it by establishing that the chimeras are 10000000000% sentient and as intelligent as any human and can be communicated with and it turns out the citizens of okhema are... exploiting them for free manual labor..? huh. and now you are given a quest where you become a manager for a squad of chimeras and now you have to turn them into top performing laborers but they don't really want to Work. but you have to ignore that and ignore their desires for self-autonomy and make them work anyway. Huh

and throughout the quest you are given options to point out that it's literally textbook exploitation and that you don't really want to participate in putting these little HIGHLY INTELLIGENT animals into what is essentially slavery. and when you complete the quest you are awarded with a little medal for having the most productive chimera squad and you can respond with "i don't feel happy about winning this." so it's not even like the writers were simply blind to the strangeness of it all. they point it out themselves! BUT NOTHING IS DONE ABOUT IT!

the chimeras never get an opportunity to dictate their own lives everything is controlled by the humans around them and yeah i guess there are laws in place against straight up abuse but it's still not like they're getting compensated for their work. they don't get money to go buy little chimera groceries or toys or anything. and they're shown to be fatigued and overworked and stressed and like it's just so fucking weird and uncomfortable

these little aminals should not be concocting plans to call in sick for work. like what the hell leave them alone

[icicledream]

"so many things using the term ai feels like deliberate obfuscation" i hate to tell u this but we have been using the term ai for video game npcs and scientific models and automated tools and generative tools for many decades.

like if this was a more recent acronym yeah it'd feel deliberate but all of those things are, in fact, forms of artificial intelligence

and sure they're trying to buzzword it bc of the genai craze but that shouldn't take away from the fact that we've been using that acronym for decades

[gamedevelopers]

Artificial Intelligence Development Company

Bettoblock, is a  leading Artificial Intelligence Development Company, is at the forefront of innovation in the AI landscape. Our team of experts dedicated to creating cutting-edge AI solutions that drive efficiency, productivity, and innovation across various industries. We have been helping businesses utilize the latest artificial intelligence tools and technologies to achieve exponential growth.