Today, Mirai is developing a framework for models so they can perform better on devices. The company has built an inference ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Borosilicate glass, the same material used in lab equipment and kitchen cookware, can encode data using femtosecond lasers at densities and lifespans no existing archival medium can match, according ...

AI is “deployed.” Outcomes aren’t. The difference is maturity: data, governance, workflow design and integration discipline.

A major next step for artificial intelligence (AI) and machine learning (ML) innovation is moving ML models from the cloud to the edge for real-time inferencing and decision-making applications in ...

The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...

The position paper “Reconciling AI Sovereignty and Exportability” builds on decades of work by Thales in artificial intelligence, notably within its CortAIx entities, and places respect for national ...

Etsy, Inc. ( ETSY) Q4 2025 Earnings Call February 19, 2026 8:30 AM EST Hi, everyone, and welcome to Etsy's Fourth Quarter and Full Year 2025 Earnings Conference Call. I'm Deb Wasser, VP of Investor ...

The numbers arrived with the dispassion of a telemetry readout: 10.5 years of observations, 200 billion individual detections ...

By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...