This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...

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

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

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

ChatGPT and other AI tools are upending our digital lives, but our AI interactions are about to get physical. Humanoid robots trained with a particular type of AI to sense and react to their world ...

NEW YORK, March 5, 2025 /PRNewswire/ -- ACM, the Association for Computing Machinery, today named Andrew G. Barto and Richard S. Sutton as the recipients of the 2024 ACM A.M. Turing Award for ...