The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications - from autonomous driving to robotics. Researchers at the Technical ...

Researchers at TUM trained artificial neural networks using biological data from the early visual system development. These networks completed tasks more quickly and accurately than those without such ...

A Queen’s research team has developed a new way to train AI systems so they focus on the bigger picture instead of specific, ...

One of the most influential academics in artificial intelligence, Geoffrey E. Hinton, has been awarded the Nobel Prize in physics for training artificial neural networks and laying the foundations for ...

SHANNON, CLARE, IRELAND, February 5, 2026 /EINPresswire.com/ -- A new publication from Opto-Electronic Technology; DOI ...

Five DECADES of research into artificial neural networks have earned Geoffrey Hinton the moniker of the Godfather of artificial intelligence (AI). Work by his group at the University of Toronto laid ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, training on databases, and special computer chips.

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...