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Researchers studying large-scale artificial intelligence, microbial biomanufacturing and causal inference methods are among the Cornell researchers who recently received National Science Foundation Faculty Early Career Development Awards.
Decades before any probe dips a toe – and thermometer – into the waters of distant ocean worlds, Cornell astrobiologists have devised a way to determine ocean temperatures based on the thickness of their ice shells, effectively conducting oceanography from space.
Male teaching assistants are more likely to receive higher ratings than their female counterparts, and both genders are perceived as more valuable when exhibiting traits historically associated with their respective roles in society, a Cornell study finds.
Two Cornell Engineering undergraduates are working to make arrays of wave energy converters – devices catch the waves and turn them into electricity – and move the technology closer to actuality.
Awarded graduate students will study sustainability, biodiversity, accelerating energy transitions, advancing human health, increasing food security or addressing climate change.
Researchers developed a semiconductor chip that will enable ever-smaller devices to operate at the higher frequencies needed for future 6G communication technology.
For the first time in Cornell Engineering’s history, every school and department currently has, or will soon have, a woman faculty member on the college’s executive leadership team. The milestone comes as the college celebrates the 140th anniversary of its first woman engineer.
A radical shift in playing style has helped fuel a Cornell men’s basketball resurgence. The Big Red has posted its third straight winning season and is the No. 3 seed heading into this weekend’s Ivy League Tournament, at Columbia.
Cornell Atkinson faculty fellows Greeshma Gadikota and Phillip Milner have won Carbontech Development Initiative grants to develop carbon removal technologies.
Researchers have demonstrated the use of artificial-intelligence-selected natural images and AI-generated synthetic images as neuroscientific tools for probing the visual processing areas of the brain.
