Research at risk: Keeping Navy divers safe with robot partners

Cornell researchers are working to understand how robots can assist humans in dangerous and physically challenging environments, but the project, which is funded by the U.S. Department of Defense, has been halted by a stop-work order.

Developers, educators view AI harms differently, research finds

Cornell researchers have found the developers of large language models and the educators who use them have different ideas about the potential harms they may cause, a finding that researchers say underscores the need for educators to be more involved in the tools’ development.

Carbon dioxide key to making a precise polymer safely

Cornell chemists have developed a user-friendly, scalable process for methacrylate that’s precisely controlled and mediated by carbon dioxide.

New perovskite design sets solar cells on path to stability

By finding the atomic equivalent of a perfect handshake between two types of perovskite, researchers at Cornell have built solar cells that are not only high-performing, but exceptionally durable.

Students showcase their innovative tech, from critters to catacombs

In between classes and extracurriculars, students showcasing their tech-based projects in the 2025 annual Bits On Our Minds could have been seeing friends or catching up on sleep. Instead they were using their free time to brainstorm, experiment, code and create.

Research at risk: Protecting national defense from cyberattacks

A Cornell-led assessment of vulnerabilities in the semiconductor supply chain and how to mitigate them is on hold after receiving a stop-work order.

Suzanne Loker, emerita professor of fiber science and apparel design, dies at 77

Suzanne Loker, an innovator in apparel education and champion for sustainability and corporate responsibility, died April 12 at age 77, from cancer.

How a tiny RNA modification helps control cell stress responses

The modification commonly found on messenger RNAs plays a surprisingly large role in how cells respond to stress, according to a study led by Weill Cornell Medicine investigators. 

Tool predicts impact of wildfire smoke on solar power generation

Cornell researchers created a machine learning-based model that can forecast, with greater accuracy than current methods, the impact severe wildfire conditions will have on solar electricity generation.