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 ...

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

As artificial intelligence grows more powerful, so does its appetite for speed and energy. The quest for faster, smarter systems has driven researchers to an unlikely ally—light itself.

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 ...

In his research, Professor Marko Huhtanen from the University of Oulu, who specializes in applied and computational ...

The chips will be built with special materials that move tiny charged particles, called ions, to send signals — similar to how the brain’s neurons communicate. Most chips today rely only on ...

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

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 ...

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