By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

"We’ve long had automation in our company’s vision and road map for the future," Buikema said. "As we focus on the small and ...

This video explores the impact of machine learning on renewable energy generation, particularly in wind farms, and its role ...

The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset available to the institution. Moving AI decisioning closer to this data ...

JINAN CITY, SHANDONG PROVINCE, CHINA, January 19, 2026 /EINPresswire.com/ -- The global market for three-in-one busbar ...

Using detailed surveys and machine learning computation, new research co-authored at UC Berkeley's Center for Effective Global Action finds that eradicating extreme poverty would be surprisingly ...

Researchers from the labs of Professors Vinayak Dravid and Omar Farha developed a high-resolution approach to map ...

New research shows that the use of an AI-enabled digital stethoscope more than doubled the identification of moderate to ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...