In 2009, Jensen Huang foresaw GPUs as AI engines, not just gaming tools, showcasing a chip combining CPU and GPU for parallel ...

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

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.

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

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

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

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 ...

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 ...

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

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 ...