Professor and SDSC faculty Jesse Thaler describes a vision for a two-way bridge between artificial intelligence and the mathematical and physical sciences — one that promises to advance both.

By providing holistic information on a cell, an AI-driven method from researchers including SDSC faculty Caroline Uhler could help scientists better understand disease mechanisms and plan experiments.

A new method developed at MIT by researchers including SDSC faculty Adityanarayanan “Adit” Radhakrishnan could root out vulnerabilities and improve LLM safety and performance.

MIT researchers including recent SES/IDPS graduate Sirui Li PhD ’25 have developed a parking-aware navigation system that helps drivers identify lots offering the optimal balance between proximity to their destination and the likelihood of available spaces.

The context of long-term conversations can cause an LLM to begin mirroring the user’s viewpoints, possibly reducing accuracy or creating a virtual echo-chamber, says new research from EECS professor Ashia Wilson and SES/IDPS student Shomik Jain.