Researchers from Tianjin University have introduced the Emergency Medical Procedures 3D Dataset (EMP3D), a pioneering ...

Breakthroughs in AI, quantum, robotics, space, security and energy are arriving faster and more interlinked than ever before.

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...

Interest in our technology continues to grow and we believe it is evident that annealing quantum computing is the critical ...

Quantum computers could revolutionize everything from drug discovery to business analytics—but their incredible power also ...

Mobile CrowdSensing (MCS) has become a powerful sensing paradigm for information collection recently. As sensing becomes more complicated, it is ...

In A Nutshell Personalized AI “health agents,” virtual drug trials, and automated compliance tools could quietly speed up ...

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

Artificial intelligence has captured headlines recently for its rapidly growing energy demands, and particularly the surging ...

Welcome to the world of RDHNet, a groundbreaking approach to multi-agent reinforcement learning (MARL) introduced by Dongzi Wang and colleagues from ...

The scholarship supports a one-year, fully funded master’s degree program in global affairs at Tsinghua University in Beijing ...

As a self-driving car cruises down a street, it uses cameras and sensors to perceive its environment, taking in information ...