The second annual student-industry conference was held in-person for the first time.

A new measure can help scientists decide which estimation method to use when modeling a particular data problem.

Scientists have confirmed that a “stabilizing feedback” on 100,000-year timescales keeps global temperatures in check.

The technique could be used to fabricate computer chips that won’t get too hot while operating, or materials that can convert waste heat to energy.

Inspired by jellyfish and octopuses, PhD candidate Juncal Arbelaiz investigates the theoretical underpinnings that will enable systems to more efficiently adapt to their environments.

Mathematical modeling speeds up the process of programming bacterial systems to self-assemble into desired 2D shapes.

Researchers use machine learning to automatically solve, explain, and generate university-level math problems at a human level.

Their swirling, clustering behavior might someday inform the design of self-assembling robotic swarms.

The system rapidly scans the genome of cancer cells, could help researchers find targets for new drugs.

To put global climate modeling at the fingertips of local decision-makers, some scientists think it’s time to rethink the system from scratch.