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

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

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

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 ...

On October 31, 2025, researchers revealed a groundbreaking innovation: a brain-inspired computer prototype designed to bring ...

The global AI chip market has grown to $166.9 billion in 2025, and is predicted to reach $311.58 billion by 2029, ...

However, databases alone and cloud-based services, like serverless functions, that access them were not designed to handle ...

AI focuses on learning patterns from data to make decisions; quantum computing focuses on raw computational power for complex problems like molecular simulation and code-breaking.

The computing world is on the cusp of a transformation. Rather than simply getting a little faster each year, desktop PCs are approaching a leap in capability t ...

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

Quantum computing is reshaping the foundation of digital security and the transition to post-quantum cryptography is no ...