Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

Some kids plan to kill. Can we discover who they are before they do? A program that combines neural and clinical data via ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

For decades, artificial intelligence advanced in careful, mostly linear steps. Researchers built models. Engineers improved performance. Organizations deployed systems to automate specific tasks. Each ...

Senvol receives U.S. Navy funding to develop machine learning-based sensor fusion for metal additive manufacturing.

As markets become faster and increasingly data-heavy, crypto trading platforms are no longer judged by access alone, but by ...

Memory, as the paper describes, is the key capability that allows AI to transition from tools to agents. As language models ...

Telcos consume huge amounts of energy. So does AI. Could one of those be used to help save energy used by the other?

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

The technological disparity between institutional high-frequency trading firms and retail aggregators has historically been defined by data latency and computational power. Plugsic addresses this ...