Machine learning helped identify new superconductors and a process that could speed the discovery of thousands more ...

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted consumer data. By combining ...

A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...

Scientists have demonstrated a powerful new way to search for one of physics' biggest prizes: practical superconductors.

A product designer share how embracing her inner "mad scientist" and experimenting with AI helped her land a job at Adobe, with no formal background in machine learning.

KV, a low-rank KV cache compression method achieving up to 20x reduction, with the paper selected as a Spotlight at ICML 2026 ...

Introduces a low-rank-based approach to KV cache compression, one of the key bottlenecks in long-context AISpeeds up attention computation by up to 6.9x and overall generation throughput by up to 3.1x ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

Kawasaki Robotics, Dürr and YRG Robotics featured Coherix technology in their exhibits. ANN ARBOR, Mich., July 1, 2026 /PRNewswire/ -- Coherix displayed its AI-based quality-cont ...

Protein Industries Canada has funded a project to create an AI platform that can make fermentation more efficient and "unlock ...