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Assistant professors Anna Y.Q. Ho, Chao-Ming Jian, Rene Kizilcec and Karan Mehta are among 126 early-career researchers who have won 2024 Sloan Research Fellowships from the Alfred P. Sloan Foundation.
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.
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.
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.
From exploring the mechanics of early-stage bone metastasis to analyzing price formation policies in wholesale electricity markets, Cornell Engineering’s Sprout Awards are funding unique research projects with the potential to grow partnerships across Cornell.
A research collaboration has found an efficient way to expand the collective behavior of swarming microrobots: Mixing different sizes of the micron-scale ‘bots enables them to self-organize into diverse patterns that can be manipulated when a magnetic field is applied.
Researchers in the School of Electrical and Computer Engineering are incorporating elements of physics, circuit design, photonics, systems architecture, information theory and other fields to make quantum devices both practical and scalable.
Researchers have derived a formula that predicts the effects of environmental noise on quantum information – an advancement crucial for designing and building quantum computers capable of working in an imperfect world.
A simple model that simultaneously simulates swarming behaviors and synchronized timing takes a step toward engineering microrobots and furthering our understanding of such phenomena in biology.
