Microsoft on Thursday launched three new foundational AI models it built entirely in-house — a state-of-the-art speech transcription system, a voice generation engine, and an upgraded image creator — ...

Microsoft has made three new in-house-built AI models available on its Foundry platform. It's a sign of the company reducing its reliance on its longtime partner, OpenAI. A new deal agreed in October ...

Microsoft AI, the tech giant’s research lab, announced the release of three foundational AI models on Thursday that can generate text, voice, and images. The release signals Microsoft’s continued push ...

Microsoft Corp. aims to develop large, cutting-edge artificial intelligence models by next year, part of a push to build in-house alternatives to the most powerful AI tools from OpenAI and Anthropic. ...

In a recent experiment, researchers at UC Berkeley and UC Santa Cruz asked Google’s artificial intelligence model Gemini 3 to help clear up space on a computer system. This involved deleting a bunch ...

The move could position the AI infrastructure powerhouse to quickly compete with OpenAI, Anthropic, and DeepSeek. Open source models are ones where the weights or the parameters that determine a model ...

The era of size inclusivity is seemingly over. Our critic traces the shift and hopes designers might learn from it. By Vanessa Friedman I know models have always been skinny, but it seems to me they ...

In the year since DeepSeek, a little-known artificial-intelligence lab from China, shocked the world with a whizzy new model, the country’s clout in AI has only grown. It is now the undisputed global ...

You’ve probably seen an artificial intelligence system go off track. You ask for a video of a dog, and as the dog runs behind the love seat, its collar disappears. Then, as the camera pans back, the ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world. Barbara is a tech writer specializing in AI and emerging technologies. With a ...

Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.