The power of modern computing is hard to overstate. Your smartphone has more than 100,000 times the power of the computer ...

Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...

New ST-patented hybrid mode relieves software development for USB PD advanced features;  Updated ST-proprietary ...

CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...

Taiwanese integrated circuit design houses used the 2026 Consumer Electronics Show in the US to seek new partnerships, signaling that success in the next phase of edge artificial intelligence will ...

Researchers from the University of Waterloo's Faculty of Science and the Institute for Quantum Computing (IQC) are prioritizing collaboration over competition to advance quantum computer development ...

Thanks to computer numerical control (CNC) fabrication technologies, the method may also be applied to design-laminated timber gridshells. Credit: ©2025 Masaaki Miki and Toby Mitchell CC-BY-ND A new ...

Nvidia is investing $2 billion into Synopsys, which makes software and components for designing semiconductor chips. The deal deepens their existing partnership at a time when analysts have started to ...

No-code website development platform company Webflow Inc. today launched App Gen, a new artificial intelligence-powered code generation experience that allows anyone, from designers to marketers to ...

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Taylor Soper on Nov 10, 2025 at ...

A new technical paper titled “LongSight: Compute-Enabled Memory to Accelerate Large-Context LLMs via Sparse Attention” was published by researchers at Cornell University. “Large input context windows ...

Abstract: This article proposes online data-based reinforcement learning (RL) algorithm for adaptive output consensus control of heterogeneous multiagent systems (MASs) with unknown dynamics. First, ...