René Kizilcec has been named a 2022-2024 Jacobs Foundation Fellow and will examine effective, affordable hybrid learning in secondary-school education in low-resource areas.
The free machine-learning powered tool can identify more than 3,000 birds by sound alone, generates reliable scientific data and makes it easier for people to contribute citizen-science data on birds by simply recording sounds.
Ben Leff ’16 and government professor Peter Enns are co-founders of Reality Check Insights, a company that delivers data insights related to people’s attitudes, preferences and behaviors to media organizations, political groups and others.
An interdisciplinary research team led by Carla Gomes, professor of computing and information science, has developed Deep Reasoning Networks, which combine deep learning with an understanding of the subject’s boundaries and rules.
The algorithms are unique in that they take a holistic approach to action anticipation, combining visual data – where an athlete is located on the court – with information like an athlete’s specific role on the team.
A new study demonstrates for the first time that the same undersea fiber-optic cables used for internet and cable television can be repurposed to tune in to marine life at unprecedented scales, potentially transforming critical conservation efforts.
Sarah Kreps started the lab to research the growing connections and potential disruptions at the intersection of technology and government, many of them related to artificial intelligence.
Cornell scientists have created an evolutionary model that connects organisms living in today’s oxygen-rich atmosphere back billions of years – to a time when Earth’s atmosphere had little oxygen.
A $1.2 million grant from the National Science Foundation will fund research on how big data and tech innovations affect organizational relationships on dairy farms and in the dairy industry.