By studying mice equipped with brain electrodes and tiny eye-tracking cameras, Cornell researchers determined that new memories are being replayed and consolidated when the pupil is contracted during a substage of non-REM sleep.
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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 for another important job: measuring lead contamination levels in soil.
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 (RL), 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, researchers from Weill Cornell Medicine and Rockefeller University have found.
2030 Project Fast Grant awards support energy systems of the future
Rachee Singh, assistant professor of computer science, and Emaad Manzoor, assistant professor of marketing, will design light-based, optical network fabrics that enable faster communication between GPUs and bypass bottlenecks caused by slower electrical connections.
Schmidt Sciences names Sarah Dean an AI2050 Fellow
Sarah Dean, assistant professor of computer science in the Cornell Ann S. Bowers College of Computing and Information Science, has received an AI2050 Early Career Fellowship from Schmidt Sciences.
Xiaoying Gan ’25: Using data to transform the future of food
Xiaoying Gan ’25, a biometry and statistics and plant science double major, is using her Cornell Bowers education to improve agriculture and tackle food insecurity—advancing humanity and society through tech.
Dean Kavita Bala shares Cornell’s approach to GenAI in 2024 AI Index Report
“When GenAI first came out a lot of discussion was around how students would use it to cheat and circumvent learning. This is a real concern. However, there is such a huge opportunity in using GenAI to improve and change what and how we teach. Recognizing that our students are going to live in an AI-enabled world, at Cornell we realized that we must change our curriculum to include GenAI in it.” – Kavita Bala, Ph.D., Cornell University, Dean Bowers College of Computing and Information Science and Lead Dean, Cornell AI Initiative