The breakthrough builds on neuromorphic engineering, a field that designs hardware modeled after the human brain. Unlike traditional processors, which separate memory and computation, neuromorphic ...
As Valentine’s Day approaches at Stanford, some students may be gearing up for first dates — not with people they met on ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
Faculty Associate Virgilio Almeida and coauthors explore governance structures and forms of institutional oversight to maintain human control over agentic AI.
Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...
If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...
Abstract: A general problem in multi-node systems is data synchronization, where the most used method uses synchronous data updating. All changes made by the user are immediately reflected in the data ...
Google DeepMind today pulled the curtain back on AlphaEvolve, an artificial-intelligence agent that can invent brand-new computer algorithms — then put them straight to work inside the company's vast ...
The pharmaceutical industry is on the cusp of an AI-driven revolution. By 2030, AI-powered drug discovery is projected to be a $9.1 billion market, growing at a staggering 29.7% CAGR. AI promises to ...
1 The College of Computer, Qinghai Normal University, Xining, China 2 Department of Mechanical and Electrical Engineering, College of Xining Urban Vocational and Technical, Xining, China Traditional ...
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