Lab-grown brain tissue learned to balance a virtual pole with 46% accuracy, revealing how living neural networks adapt and ...

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

Article reviewed by Grace Lindsay, PhD from New York University. Scientists design ANNs to function like neurons. 6 They write lines of code in an algorithm such that there are nodes that each contain ...

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

Rapid advances in applying artificial intelligence to simulations in physics and chemistry have some people questioning whether we will even need quantum computers at all. Tech companies have been ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

As the name suggests, neural networks are inspired by the brain. A neural network is designed to mimic how our brains work to recognize complex patterns and improve over time. Neural networks train ...

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