Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
Open-weights models are nothing new for Nvidia — most of the company's headcount is composed of software engineers. However, ...
RDMA via Thunderbolt 5 brings 10x faster links for Apple Silicon clusters, helping you run larger AI models on affordable M4 ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
Atlanta, GA, Dec. 17, 2025 (GLOBE NEWSWIRE) -- AIQuant Labs has launched DexTrader.ai, a machine learning-powered investment ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
A generative advertising framework integrates diffusion models, multimodal learning, and brand style embeddings to automate creative ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences (CAS), has ...
There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...
As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.
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