By replacing single atoms with an entangled pair of ions, physicists in Germany have demonstrated unprecedented stability in ...

AI optimists envision a future where artificial general intelligence (AGI) surpasses human intelligence, but the path remains riddled with scientific and logistical hurdles.

To be human is, fundamentally, to be a forecaster. Occasionally a pretty good one. Trying to see the future, whether through the lens of past experience or the logic of cause and effect, has helped us ...

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

Lance Fortnow on the current status and future outlook of solving the P-NP problem.

Frontier models such as OpenAI's GPT depend mostly on increasing computing power rather than smarter algorithms, according to a new MIT report. Here's why that matters.

AI’s biggest constraint isn’t algorithms anymore. It’s data…specifically, high-quality, forward-looking data. It is the “Rare ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Abstract: In practical scenarios, digital predistortion (DPD) systems are typically deployed on hardware platforms. However, the current time delay alignment algorithm, a critical component of DPD ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

The original version of this story appeared in Quanta Magazine. One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling ...