Researchers at Cornell Tech have released a dataset extracted from more than 300,000 public Reddit communities, and a report detailing how Reddit communities are changing their policies to address a surge in AI-generated content.
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Nice flex: AI-powered smart clothing logs posture, exercises
Researchers at Cornell have developed a new type of smart clothing that can track a person’s posture and exercise routine but looks, wears – and washes – just like a regular shirt.
How Academe Can Compete in the AI Arms Race by Kavita Bala
We are living in the most consequential decade in artificial intelligence’s history. We don’t know exactly what the future will look like, and we don’t know exactly what innovations it will bring, but we know one thing for certain: AI will be shaped by the people who have access to the most computing power and data.
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.
NSF grant supports AI-driven sustainability research, training
A new program at Cornell will tackle critical environmental challenges by integrating advanced artificial intelligence (AI) tools with sustainability research across the campus, thanks to a grant from the National Science Foundation’s Research Traineeship Program.
Redesigning videoconferencing for, and by, people who stutter
New research and an app aim to make Zoom and other video conferencing platforms less stressful for people with speech diversities, while improving the experience for everyone.
Cornell startup offers AI-powered math help
Nour Gajial ’26, left, and Yanni Kouloumbis ’26, founded MathGPT to help high school and college students struggling with math understand how to approach their problems step by step.
Employees prefer human oversight to AI surveillance – unless the technology can be framed as supporting their development, new Cornell research finds.
Employees prefer human oversight to AI surveillance – unless the technology can be framed as supporting their development, new Cornell research finds.