Digital agriculture at Cornell has just been seeded for robust additional growth by being added as a strategic discipline area to the provost's radical collaboration initiative.
A Cornell-led collaboration has used state-of-the-art computational tools to model the chaotic behavior of Planckian, or “strange,” metals. This behavior has long intrigued physicists, but they have not been able to simulate it down to the lowest possible temperature until now.
Cornell researchers have discovered an inexpensive and accurate method for self-driving cars to detect three-dimensional objects, potentially revolutionizing the autonomous vehicle industry.
Stephen Wicker, an expert in information network privacy issues, comments on Lockport City School District becoming the first district in New York state to adopt facial recognition technology to monitor who is on school grounds.
Following concern on energy-hogging cryptocurrency mining, Cornell Engineering research says that carbon capture and renewable energy may help mining operations reduce their wasteful footprint.
To help robots understand human language when navigating, researchers divided their task into two separate stages: first, interpreting the language in a command and mapping out a path; and then executing the trip.
A new podcast hosted by Entrepreneurship at Cornell launched in June, exploring the bold entrepreneurial ideas coming from Cornell students, faculty, staff and young alumni.
Thomas Jungbauer, professor of strategy and business economics, and Joseph Halpern, professor of computer science, comment on European Union plans to compete with the growth of tech conglomerates in the United States and Asia, and address ethical concerns in artificial intelligence.
A highly innovative method using the latest technology opens myriad new avenues for research, for understanding the biology behind COVID-19, and for identifying new treatments that target protein binding sites.
