This creates what you might call the AI workflow paradox: the faster we can generate code, the more critical it becomes to ...
UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...
AI workflows fundamentally depend on real-time data movement: ingesting training data streams, feeding live data to models for inference and distributing predictions back to applications. But strip ...
Many climate scientists call our current epoch the “Anthropocene” — the first human-driven climate era. Many technologists ...
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear ...
Morning Overview on MSN
Scientists create brain-like chip for self-learning phones
On October 31, 2025, researchers revealed a groundbreaking innovation: a brain-inspired computer prototype designed to bring ...
Tech Xplore on MSN
Optical system uses diffractive processors to achieve large-scale nonlinear computation
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs ...
CPU architectures in a single system, whether that is a single system-on-chip (SoC) or a larger electronics platform ...
Quantum computing is still years away, but Nvidia just built the bridge that will bring it closer -- a quiet integration of ...
Through pioneering neuromorphic computing research, Yiran Chen is developing brain-inspired hardware neurons that could lead ...
The global AI chip market has grown to $166.9 billion in 2025, and is predicted to reach $311.58 billion by 2029, ...
The computing world is on the cusp of a transformation. Rather than simply getting a little faster each year, desktop PCs are approaching a leap in capability t ...
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