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

This creates what you might call the AI workflow paradox: the faster we can generate code, the more critical it becomes to ...

The future of computing has arrived in a flash, literally. In A Nutshell Researchers created a computer that performs complex ...

UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...

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

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 ...

Haiqu's new encoding technique allows quantum computers to process high-dimensional financial data, showing improved ...

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 ...

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

Quantum computing is still years away, but Nvidia just built the bridge that will bring it closer -- a quiet integration of ...

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