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 ...

Neel Somani points out that while artificial intelligence may look like it runs on data and algorithms, its real engine is ...

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

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

Anthropic Co-Founder Jack Clark's urgent warnings about AI's unpredictable behavior and why global collaboration is crucial ...

When responding to a prompt, an AI model may conceal information from the user entering the prompt. This practice, known as ...

Physical AI, in contrast to traditional automation, which executes fixed, pre-programmed tasks, allows machines to learn in ...

More than 350 senior leaders have completed the programme and another 600 are now engaged. Statistical analysis confirms the ...

Last year, generative AI was the buzzed-about tech. Now, it’s all about agentic AI systems that can make decisions and ...