The central processing unit has long stood as the cornerstone of computing, from powering individual computers to driving large-scale data centres that underpin the digital world. However, as ...

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 ...

A new book by one of the founders of research on neural networks covers more than 40 years of scientific work that led to the ...

The parallel computing market was valued at USD 22.4 billion in 2024 and is projected to reach approximately USD 54.0 billion ...

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 ...