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 ...

Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...

Researchers built a computer that performs AI calculations at light speed in a single shot. The breakthrough can help AI ...

IBM announced new processors that it said will help it build a “fault-tolerant quantum computer” by the end of the decade.

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs ...

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 ...

Many climate scientists call our current epoch the “Anthropocene” — the first human-driven climate era. Many technologists ...

Through pioneering neuromorphic computing research, Yiran Chen is developing brain-inspired hardware neurons that could lead ...

Getting a supercomputer like Hunter from concept to reality is a process that requires both planning and patience, in ...

Neutral-atom quantum computer company QuEra Computing announced the completion of Stage A and selection for Stage B of the ...