From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

An intensive programme on reinforcement learning, brought together 60 international participants including students, ...

Discover how space debris tracking technology, automated satellite collision avoidance systems, and active debris removal ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized energy management. Yet as renewable penetration rises, maintaining stable ...

"Alpha Trend" combines deep reinforcement learning (DRL) with quantitative algorithms, integrating analytical tools such as moving averages, Bollinger Bands, and ATR to identify short-- to ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

EZMedTech.ai has received a 2026 Global Recognition Award for its healthcare scheduling automation platform that combines ...

From Deep Blue to modern AI, how chess exposed the shift from brute-force machines to learning systems, and why it matters AI ...

Boston Dynamics this week shared fresh footage and insights into its ongoing work pushing the limits of full-body control and mobility for its humanoid robots, highlighting progress toward robots ...

China's push to fuse artificial intelligence with new-type power systems is steering a paradigm shift toward integrated, data ...