Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

Researchers at Tsinghua University have created a rapid, label-free method using polarized light detection to identify and ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

Red blood cells are essential for oxygen transport and immune function in the human body. When these cells become abnormally shaped, they can indicate serious health conditions, including diabetes, ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

AI brings innovation and greater accuracy to corporate and investment banking. Artificial intelligence, GenAI, and large ...

Lessons learned from implementing in AI at regulated medical device manufacturer, ResMed. This includes top 5 challenges and ...

Are You Effectively Managing Non-Human Identities in AI-Driven Cloud Security? Where technology underpins every business function, the security of machine identities—known as Non-Human Identities ...

Why management education must stop fearing artificial intelligence and start embracing it to think deeply, question sharply, ...

As the diagnostic landscape evolves, several patterns are emerging across both clinical research and market innovation.