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

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

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, released a core quantum machine learning technology oriented toward sequential learning tasks—the ...

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 ...

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for generating images from pure noise by using the physics of heat and motion ...

An accurate assessment of the state of health (SOH) is the cornerstone for guaranteeing the long-term stable operation of ...

Ten AI concepts to know in 2026, including LLM tokens, context windows, agents, RAG, and MCP, for building reliable AI apps.

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...