AI News Archive - Browse Page 34 of 160

Edge video analytics promises faster insights by crunching footage where it’s captured, cutting the latency that plagues cloud‑centric pipelines.

Why does an LLM‑driven system matter for lab work? Researchers have long chased the idea of machines that can plan, execute, and interpret...

Why do larger language models keep getting better, even when they’re trained on the same data?

The courtroom drama surrounding OpenAI’s lawsuit has turned into a litmus test for one of tech’s most outspoken figures.

Why does this matter now? Satya Nadella has been urging customers to move beyond counting seats and focus on how heavily they engage with AI tools.

Microsoft has spent years positioning its Azure platform as the primary home for OpenAI’s models, a partnership that has shaped everything from...

A recent report revealed that Google has been discussing potential collaborations with the Pentagon, sparking unease across the company’s engineering...

China’s regulators have thrown a wrench into Meta’s latest push to bolt AI‑driven tools onto its platform.

Why does a language model need a memory bank at all? In theory, a large‑scale transformer can generate answers from the patterns it learned during...

David Silver has just closed a $1.1 billion financing round aimed at building “Ineffable Intelligence,” an AI system that claims to learn without any...

OpenAI has finally untangled the legal knot with Microsoft that threatened to stall its biggest cloud partnership in years.

OpenMOSS has just put a new open‑source model on the table—MOSS‑Audio, a foundation model built to understand speech, music and other sounds while...

Why does a new AI model from Meta matter to anyone beyond the usual chat‑bot chatter?

Why does Altman’s latest memo matter? The OpenAI chief just published a five‑point manifesto that doubles as a public rationale for the company’s...

Open‑source orchestration has long been a niche where frameworks define the rules and developers fill in the gaps.

The buzz around large language models has outpaced the evidence of real‑world returns, leaving a noticeable gap between hype and profit.

Why does this matter? Because the courtroom has become the newest arena where the direction of artificial intelligence is being debated.

The new ASI‑EVOLVE framework claims to automate three core pillars of machine‑learning pipelines—curating training data, selecting model...

Multimodal foundation models are hitting a performance wall. Researchers can train a model that sees images, text, and audio, but running it in...

Why does drug discovery still feel like assembling a jigsaw puzzle in the dark? Researchers must juggle dozens of niche programs—each handling a...