Podcast features 2025 Cornell Entrepreneur of the Year John Bicket

Bicket ’02, chief technology officer and co-founder of tech firm Samsara, is the guest on this month's Startup Cornell podcast.

Around Cornell

Quantum statistical approach quiets big, noisy data

A team with Cornell statisticians has develop a way to handle and simplify large data sets more efficiently than traditional methods, for when big data gets too big.

Around Cornell

Medical students use AI to practice communication skills

At Weill Cornell Medical College, students have a new tool for polishing their bedside manner and making a diagnosis: an artificial intelligence-powered virtual patient that simulates the doctor-patient interaction.

AI ring tracks spelled words in American Sign Language

A Cornell-led research team has developed an artificial intelligence-powered ring equipped with micro-sonar technology that can continuously and in real time track fingerspelling in American Sign Language.

DGA’s first game jam gives game developers a chance to level up

At the Development in Games Association's first in-person game jam, twelve teams competed to create an entire video game in less than two days.

Around Cornell

Cornell faculty honored for community-engaged innovation

Thirteen faculty members from across Cornell are being honored by the Einhorn Center for Community Engagement with this year’s Community-Engaged Practice and Innovation Awards

Around Cornell

Where computer scientists and economists talk to each other

In a world that’s growing more connected every day, economists and computer scientists need to work together. Cornell researchers have thought this way for years, and the rest of the world is catching on. 

Around Cornell

$10.5M gift to Cornell will fund research using Empire AI

The gift from philanthropist Tom Secunda, co-founder of Bloomberg L.P., will help fund artificial intelligence-related research at Cornell Tech in New York City and at the Cornell Ann S. Bowers College of Computing and Information Science in Ithaca.

AI models make precise copies of cuneiform characters

Researchers from Cornell and Tel Aviv University have developed an approach to use artificial intelligence for reading the ancient tablets.