Recently, researchers proposed a reinforcement learning-based initialization strategy that successfully overcomes the common 'desert plateau' problem in Variational Quantum Algorithms (VQA). This ...

CoreWeave said it will acquire OpenPipe, a Bellevue, Wash.-based startup that helps developers train AI agents using ...

Vehicles and pedestrians can move freely like "ghosts"... This is not a science fiction story, but a function brought by a ...

The bird has never gotten much credit for being intelligent. But the reinforcement learning powering the world’s most ...

Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of ...

Google DeepMind and Intrinsic developed AI that uses graph neural networks and reinforcement learning to automate multi-robot ...

A team of researchers from the University of Professional Studies, Accra, led by Dr. Augustina Dede Agor, has completed one of the most detailed global reviews to date on the integration of artificial ...

Researchers demonstrate that Synthetic Biological Intelligence (SBI) systems react faster, more effectively to stimuli than state-of-the-art RL (reinforcement learning) algorithms. To access these ...

At the industry level, the research suggests that AI-enabled decision support could help firms quantify trade-offs more ...

Here is how hardware security has become a major consideration in motor-control subsystems serving robotics and e-mobility.

Fundamentals Of Dexterity Robotics Systems Dexterity robotics is all about giving machines the ability to handle objects ...