After the height of the COVID-19 pandemic, students belonging to underrepresented ethnic minority groups struggled to bounce back academically as compared with their non-minority classmates.
A study of common mistakes humans made while guessing whether a neighborhood voted for Joe Biden or Donald Trump based on a single Google Street View image may help us make better decisions about visual information.
The $1.7 million grant will help scientists with expertise in artificial intelligence and machine learning to address complex biomedical challenges in nutrition and health.
Throughout history, sonar’s distinctive “ping” has been used to map oceans, spot enemy submarines and find sunken ships. Today, a variation of that technology – in miniature form, developed by Cornell researchers – is proving a game-changer in wearable body-sensing technology.
Catherine Tom ’24 recounts her experiences at the Grace Hopper Conference, an annual celebration of women in computing named for the pioneering mathematician and computer scientist.
A hardware accelerator initially developed for artificial intelligence operations successfully speeds up the alignment of protein and DNA molecules, making the process up to 10 times faster than state-of-the-art methods.
Over 10 weeks, 22 teams of would-be entrepreneurs developed products ranging from multilingual children's toys to innovative greenhouse hoops for small-scale farmers.
A new round of Einaudi Center seed grants will help faculty from across Cornell tackle issues ranging from drone-assisted healthcare delivery for migrants to sustainable infrastructure design for Ukraine.
A Boyce Thompson Institute scientist has developed an app that integrates multiple data analysis features into a single, easy-to-use tool for the metabolomics community.