UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...
This creates what you might call the AI workflow paradox: the faster we can generate code, the more critical it becomes to ...
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 ...
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear ...
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 ...
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 ...
PointAI (previously Try ND Buy), a leading deep-tech company specializing in Artificial Intelligence (AI) and Computer Vision ...
The global AI chip market has grown to $166.9 billion in 2025, and is predicted to reach $311.58 billion by 2029, ...
However, databases alone and cloud-based services, like serverless functions, that access them were not designed to handle ...
The data center as we know it is being reimagined as an “AI factory” – a power- and data-optimized plant that turns energy and information into intelligence at industrial scale.
Nvidia CEO Jensen Huang's keynote at NVIDIA's GTC conference in Washington D.C. was a sweeping celebration of American ...
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