Artificial Intelligence

A $25 million grant will allow Stanford Medicine researchers to explore how AI can improve care for people with dementia.

A new system turns research papers into interactive agents that can find connections human researchers might miss.

Trained on more than 100 million cells from a dozen species, a new model will make it easier to compare cells between species, with potential implications for disease research and cell therapy development.

New research teaches independent AI agents to ask for help – and gives users a way to limit unsafe decisions.

Attorneys and executives will train at Stanford on AI strategy, workflow redesign, and governance, combining legal expertise with an engineering mindset.

A prize-winning faculty-student collaboration is developing an LLM to uncover the hidden ways people work together.

A neural network developed by SLAC researchers shrinks massive experimental datasets while retaining all crucial information, enabling faster discovery across fields.

Stanford’s hands-on hub for exploring generative AI in teaching and learning is introducing a network and playbook to help educators create their own AI sandboxes.

At the third annual AI Summit @ Stanford, researchers, industry leaders, and entrepreneurs explored how to advance AI while reducing its potential harms.

A Stanford team is testing AI-assisted approaches with the Los Angeles Superior Court to flag errors in eviction cases and connect unrepresented tenants with legal help.