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 ...

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

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 ...

Initially focused on analyzing full-motion video collected by military drones, Project Maven applied machine-learning algorithms to identify objects, recognize ...

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

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

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 ...

M ore than a decade ago, the economist Erik Brynjolfsson made a prediction: AI would change everything. Humans began using ...