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 ...

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 ...

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.

Learn why developers choose Liquid Web’s GPU hosting for AI healthcare apps that demand speed, scalability, and HIPAA-ready ...

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 ...

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

While computing with minimal energy consumption is an alluring beginning, humanity has to revisit a fundamental ...

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

Scientists have built a 98-qubit machine that they say performs better than any other quantum computer in the world. They've ...