A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

A decorated UVA engineer collects early-career honors for his leadership and contributions to the data mining field.

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

CARE-ACE supports autonomy through bounded agentic reasoning, in which diagnostic, prognostic, planning, and risk-assessment ...

Large Language Models Accelerate Construction of Materials Property Databases TSUKUBA, JAPAN - January 8, 2026 (NEWMEDIAWIRE) ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

From its abundance of computer science majors to its world-class laboratories, Stanford has been a hub for artificial ...