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

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

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

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 ...

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

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

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Roles that require using judgment, taking risk ownership, and architectural thinking yield the highest bonuses, according to data from Foote Partners.

LONDON, Feb 11 (Reuters) - An artificial neural network, a type of artificial intelligence which can engage in machine learning, can be patented, the United Kingdom's Supreme Court ruled on Wednesday ...

Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word.

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...