Deep reinforcement learning (DRL) has emerged as a transformative approach in the realm of fluid dynamics, offering a data-driven framework to tackle the intrinsic complexities of active flow control.

(THE CONVERSATION) Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for ...

The approach promises faster development and adaptive performance. Traditional controllers often take months of expert tuning ...

AgiBot said its Real-World Reinforcement Learning system lets robots learn new skills in minutes on a pilot production line.

The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...

Bridging embodied AI research with real-world manufacturing systems SHANGHAI, Nov. 3, 2025 /PRNewswire/ -- AgiBot, a robotics ...

DeepSeek-R1's release last Monday has sent shockwaves through the AI community, disrupting assumptions about what’s required to achieve cutting-edge AI performance. Matching OpenAI’s o1 at just 3%-5% ...

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

The bird has never gotten much credit for being intelligent. But the reinforcement learning powering the world’s most advanced AI systems is far more pigeon than human. In 1943, while the world’s ...