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

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

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

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

The semiconductor industry has been applying AI to accelerate chip design for over three years, achieving 10X productivity gains and focusing primarily on tasks that now seem relatively easy, such as ...

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 ...

Quantum software startup Classiq Technologies Ltd. said today it has partnered with Comcast Corp. and Advanced Micro Devices Inc. to showcase how quantum computers can dramatically enhance network ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

A new platform, Moltbook, claims to host 1.4 million AI agents in a closed society. Discover why this "hive mind" signals a dangerous reversal in human cognitive skills.

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