Discover how governments employ blockchain analytics to monitor and trace cryptocurrency transactions, enhancing transparency ...

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 ...

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

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

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 ...

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 ...

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

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

TensorFlow is an open-source machine learning framework built by Google, and this 100-second video explains how it works from ...

Crucially, detection and response must be unified across identity and data layers. An alert about unusual data access is meaningless if it is not correlated with identity risk signals. Autonomous ...