For years, cosmologists have argued over a simple question with an awkward answer: How fast is the universe expanding right ...

Ripples in the fabric of space-time called gravitational waves may be the key to solving the Hubble tension — one of the biggest nagging problems in physics.

Where do AI systems lose confidence in your content? Discovery, selection, crawling, rendering, and indexing hold the answer.

Systematic human inspection of the millions of source cutouts in the Hubble Legacy Archive is impossible – but artificial ...

Hubble tension reveals discrepancies in cosmic expansion rates, leading to investigations of rotating universes and their ...

The unbridled hype of the mid-2020s is finally colliding with the structural and infrastructure limits of 2026.

Companies are spending enormous sums of money on AI systems, and we are now at a point where there are credible alternatives ...

Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

These three chip stocks look poised to be AI inference winners.

AI models are pushing against three frontiers at once: raw intelligence, response time, and a third quality you might call "extensibility." ...

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

Modal Labs, a startup specializing in AI inference infrastructure, is talking to VCs about a new round at a valuation of about $2.5 billion, according to four people with knowledge of the deal. Should ...