Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Chancellor Pradeep K. Khosla is joined by Shu Chien, Gene Lay, Executive Vice Chancellor Elizabeth H. Simmons, Jacobs School ...

Starting with the pioneering work of Laub and Purnell in the 1970s, gas chromatography (GC) and high performance liquid chromatography (HPLC) modeling has evolved into a key research area aimed at ...

Stanford Medicine researchers have developed an artificial intelligence tool to help scientists better plan gene-editing ...

Researchers convinced large language model chatbots to comply with “forbidden” requests using a variety of conversational tactics.

Persuading AI to Comply with Objectionable Requests " suggests that human-style psychological techniques can be surprisingly effective at "jailbreaking" some LLMs to operate outside their guardrails.

A new technical paper titled “MAHL: Multi-Agent LLM-Guided Hierarchical Chiplet Design with Adaptive Debugging” was published by researchers at the University of Minnesota – Twin Cities. “As program ...

While ChatGPT, Gemini, and other generative AI products have their uses, some companies are going overboard. Beyond issues like hallucinations or AI screwing up — like deleting an entire code database ...

Professor Toshiaki Taniike is pioneering the integration of data science and materials chemistry to accelerate the discovery of advanced materials. His research in materials informatics uses machine ...