Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

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 ...

For families of children with severe epilepsy, controlling seizures is often just the beginning of their challenges. Even in ...

A highly regarded research direction is “Physical Neural Networks” (PNNs), which utilize physical systems like light, ...

UCLA researchers used stem cell–derived brain models to study SCN8A-linked epilepsy. They found that gene variants caused ...

Forget quantum — neuromorphic AI could be the real disruptor, reshaping everything from medicine to warfare while cutting ...

New tools that simplify quantum complexity are reshaping physics research, drawing fresh investment, and fueling urgency ...

Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

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

Gradually but surely, Artificial Intelligence (AI) based surveillance is beginning to assist, not as science fiction fantasy, ...

A U.S. Census Bureau Survey shows declining AI adoption, while a Wall Street analyst figures hyperscalers will struggle just ...