Critical concerns regarding the security and privacy of information transmitted within Internet of Medical Things systems have increased greatly ...

Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant ...

Scientists in Japan have used a deep reinforcement learning–based AI model to calculate discrepancies between the planned and ...

Nowadays, compute-intensive programs, like those for training artificial intelligence and machine learning models, are used extensively. Modern ...

Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing ...

Discover Andrej Karpathy's insights on AI agents, LLMs, and economic growth. Insights on memory, education, and economic ...

The study proposes a decentralised smart EV-grid integration framework that distributes control intelligence across local ...

The AI solution developed by Yokogawa uses multiple, coordinated AI agents of the Factorial Kernel Dynamic Policy Programming ...

Paper argues that large language models can improve through experience on the job without needing to change their parameters.

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

The review reveals that supervised learning dominates AI-driven agriculture, accounting for nearly 60 to 88 percent of all ...