Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Two new lines of brain research are testing whether aging cells can be nudged into working more like young ones. In one study ...

In the future, psychedelics may be used to treat addictions because they can shake up the brain. Along with therapy, ...

Emotional Perception AI applied for a patent for an artificial neural network (ANN) which can recommend media files, such as music, and which it says is able to produce another file with can evoke a ...

Patentability Of Artificial Neural Networks To Be Decided By UK Supreme Court On Wednesday 11 February. Legal News and Analysis - United Kingdom - Intellectual Property - Conventus Law ...

A team at the University of California, San Diego has redesigned how RRAM operates in an effort to accelerate the execution ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...

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

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...