Academic publishing is a $25 billion-a-year industry dominated by a handful of publishers with unfair business practices, a documentary filmmaker visiting campus said.
A new digital tool developed by a team of researchers at Cornell and Stanford University can accurately predict how knitting patterns will turn out ahead of time – and does it about 100 times faster than existing methods.
When it comes to studying for their all-important baccalaureate exam, students in Cameroon are largely left to their own devices. Now a team of Cornell researchers wants to use those devices to help them prepare for the test.
Many new "sharing economy" companies, like Uber and Airbnb, use consumer-sourced ratings to evaluate their workers – but these systems can include bias based on race or gender.
If everyone uses algorithmically generated profiles, users trust them, according to a new study from Cornell researchers. However, if only some hosts choose to delegate writing responsibilities to artificial intelligence, those with AI-generated profiles are likely to be distrusted.
Cornell researchers have discovered an inexpensive and accurate method for self-driving cars to detect three-dimensional objects, potentially revolutionizing the autonomous vehicle industry.
Two dozen teams competed in Cornell's fourth annual high school programming contest, with a team from Ithaca solving the most problems in the least time to take the trophy.
Researchers have collected and analyzed health-related internet search terms from all 54 countries in Africa, finding that searches such as “Does garlic cure AIDS?” can reveal pockets of disease prevalence, cultural stigmas and urgent needs for accurate health information.
A Facebook fellowship will support graduate student Chenhao Tan's research in human-computer interaction and human behavior in social media for two years.