Computing pioneer Alan Turing suggested training machines with rewards and punishments. Two computer scientists put the idea ...

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 architecture, upper-layer agents manage long-term global optimization tasks, ...

Enhancing Microsoft CyberBattleSim for Enterprise Cybersecurity Simulations. Journal of Information Security, 16, 270-282. doi: 10.4236/jis.2025.162014 . Quantifying the effectiveness of cyber defense ...

Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to ...

This important study presents single-unit activity collected during model-based (MB) and model-free (MF) reinforcement learning in non-human primates. The dataset was carefully collected, and the ...

Hariprasad Sivaraman, a freelance researcher and pioneer in CI/CD pipelines and ML-based deployment orchestration, has always ...

A recent study in Engineering presents LearningEMS, a unified framework and open-source benchmark for electric vehicle (EV) ...

Forget vague ideals. See how Bloom and Skinner help educators measure learning through observable behaviors, practical classroom tasks, and timely feedback.

In today's modern world, Artificial Intelligence (AI) is revolutionizing the automotive industry, particularly in the realms ...

The integration of AI into functional verification is revolutionizing semiconductor design by optimizing test generation, ...