He also discussed the "education" of such machines "by means of rewards and punishments." Turing's ideas ultimately led to ...

A new agentic approach called 'streams' will let AI models learn from the experience of the environment without human ...

By categorizing and filtering user input, you can better focus on driving AI improvement. This iterative process—blending automation with human review—ensures AI learns from high-quality data, leading ...

The reasoning systems are based on a technology called large language models, or L.L.M.s. To build reasoning systems, ...

There has been much talk about how AI could recursively self-improve in the coming years, but it appears that Google ...

The review introduces a proposed two-layer reinforcement learning framework for distributed smart grid control. In this ...

Learn More It is tough to remove bias, and in some cases, outright censorship, in large language models (LLMs). One such model, DeepSeek from China, alarmed politicians and some business leaders about ...

The paper's author, Ashish Reddy Kumbham, presents an innovative system that moves beyond traditional defense mechanisms. In ...

In the ever-evolving world of artificial intelligence (AI), the ability to make effective decisions is a cornerstone of ...

Find what was learned after computer scientists explore the challenges and opportunities of using fully automated AI systems ...