AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover ...

New work explores why consciousness evolved and what observing birds can teach us about its biological purpose.

Samsung has started a “Custom SoC Development Team,” aiming to design its own chips in-house. That could mean better-optimized processors, stronger battery life, and phones that’re more than just ...

Discover why algorithms and data structures form the foundation of contemporary computing. Discover how DS&A spurs innovation ...

In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...

Legacy systems attempt to store all this directly in the index, resulting in index bloat, slow updates, stale values, and costly replicas. Dynamic Index takes a different approach by injecting dynamic ...

Vector databases explained through speed vs velocity: why AI needs vectors, not rows and columns, to manage context, ...

Ozak AI is developing as a strong competitor in the search for the crypto position for next major growth, with analysts ...