New device’s radio waves reveal lead contamination in soil

A Cornell Tech-led research group is in the early stages of developing a portable, inexpensive device that uses radio frequency signals and machine learning to measure lead contamination levels in soil.

Pupil size in sleep reveals how memories are sorted and preserved

The eyes may be the window to the soul, but the pupil is key to understanding how, and when, the brain forms strong, long-lasting memories, Cornell researchers have found.

In American fiction, it’s a small world after all

Despite being unbound by space and time, fictional protagonists in American literature travel fewer miles than their nonfiction counterparts, according to a Cornell-led research team that used artificial intelligence to analyze nearly 13,500 books from the last 230 years.

Developing artificial intelligence tools for health care

Reinforcement Learning, an artificial intelligence approach, has the potential to guide physicians in designing sequential treatment strategies for better patient outcomes but requires significant improvements before it can be applied in clinical settings.

Certificate program primes professionals for risk analysis in business

Linda Nozick, director of the Department of Civil and Environmental Engineering at Cornell, helps professionals navigate risk in the Risk Analysis certificate program.

Around Cornell

Exhibit highlights art/tech intersections in student work

The Milstein Program invited students from all disciplines to submit work for the A.D. White House exhibit.

Around Cornell

App creates time-lapse videos of the body for telemedicine

A new app developed by Cornell computer science researchers helps users record highly accurate time-lapse videos of body parts – a surprisingly difficult task and an unmet need in remote medicine and telehealth applications.

Carla Gomes named Schmidt AI2050 Senior Fellow

Philanthropic organization Schmidt Sciences has named Carla P. Gomes of Cornell Bowers CIS an AI2050 Senior Fellow for her work on innovative AI approaches to advance scientific discovery, focusing on significant sustainability challenges.

Good products can be hurt by experts’ tough ratings

Experts’ more stringent online reviews have the effect of compressing aggregate ratings by penalizing higher-quality products compared to their lower-quality alternatives. To address this problem, a research team developed a method for de-biasing ratings.