MIT researchers compared 59 scientific AI models and found they converge to similar internal representations of molecules, materials, and proteins, even when built on different architectures and trained on different tasks.<br /> The article Scientific AI models trained on different data are learning the same internal picture of matter, study finds appeared first on The Decoder. [...]
Mistral AI on Monday launched Forge, an enterprise model training platform that allows organizations to build, customize, and continuously improve AI models using their own proprietary data — a move [...]
Anthropic today launched two new AI models — Claude Fable 5 and Claude Mythos 5 — marking the company’s first broad release of the powerful “Mythos-class” AI capabilities it previously kept [...]
For three years, Microsoft's artificial intelligence story has been inseparable from OpenAI. The partnership — cemented by a cumulative investment exceeding $13 billion — gave Microsoft early [...]
Anthropic, the artificial intelligence company, published a sweeping research paper on Sunday revealing that its Claude language models have spontaneously developed an internal structure that mirrors [...]
A new study by Google suggests that advanced reasoning models achieve high performance by simulating multi-agent-like debates involving diverse perspectives, personality traits, and domain expertise.T [...]
President Donald Trump’s new “Genesis Mission” unveiled Monday is billed as a generational leap in how the United States does science akin to the Manhattan Project that created the atomic bomb d [...]