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 ...

The core of this research lies in the combination of Graph Neural Networks (GNN) and Reinforcement Learning to achieve coordinated control of up to eight robotic arms, enabling efficient and collision ...

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

In operation and maintenance, which accounts for the majority of research, IoT sensors and Digital Twins enable real-time monitoring of building systems. When coupled with AI, these technologies drive ...

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

The research finds that AI is already revolutionizing energy storage at multiple levels, starting with the performance of ...

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 ...

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

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

Leaders across various industries are turning to machine learning to gain valuable insights and make informed decisions.