CoT models, like OpenAI’s o1 CoT model, are huge breakthroughs in the field of machine learning. However, making such models better and meaningfully integrating them into stagnant industries is ...

Dr. Adi Hod. Cofounder & CEO at Velotix. Driven by a passion for data and cybernetic AI. Entrepreneur, professor, leader & innovator. AI is fast becoming embedded in industries, economies and ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the ...

The purpose of the challenge was to canvas the ATEC workforce for opportunities to solve real-world problems with AI and machine learning solutions that had a high potential return on investment.

This is where explainable artificial intelligence (XAI) comes in. XAI is an emerging field that helps interpret complicated machine learning models, providing an entry point to new applications. XAI ...

As increasing use cases of AI in insurance add urgency to the need for explainability and transparency, experts are recommending "explainable AI" best practices to follow and key challenges to ...

As the capabilities of artificial intelligence (AI) evolve, they push the boundaries of human understanding. Instead of transparent, explainable mechanisms, many AI applications are “black boxes,” ...

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

Thinking Machines Lab is mysterious, but a new report suggests that it may be working on custom AI models that can match a ...

Advances in artificial intelligence (AI) are revolutionizing the field of anomaly detection. The result is improved accuracy, faster detection, reduced false positives, scalability, and cost ...

The “black box” metaphor stems from the notion that AI systems and machine learning models operate in a manner concealed from human understanding. AI’s black box problem: Challenges and ...