People explore less when they get recommendations from voice-based platforms such as Amazon’s Alexa or Apple’s Siri, making it more likely that they’ll hear options chosen by an algorithm than those they might actually prefer.
This year's AAAS electees from Cornell include a renowned artificial intelligence researcher, an emeritus professor who studies animal migration patterns, and a food safety expert.
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.
Global Grand Challenges Symposium brought together faculty, administrators and guests to discuss challenges on which Cornell should place emphasis and resources in 2019-2020.
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.
Cornell statistician Shawn Mankad and his colleagues have found a faster way to improve mobile apps, with a new text-mining method that aggregates and parses customer reviews in one step.
