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.
Richard Kong is working to develop catalysts to guide chemical reactions toward desired outcomes, including some that could have a positive effect on the environment.
The $1.7 million grant will help scientists with expertise in artificial intelligence and machine learning to address complex biomedical challenges in nutrition and health.
New research from Cornell and the Smithsonian Institution deepens the geological understanding of Earth’s continents by testing and ultimately eliminating a popular hypothesis about why continental and oceanic crusts have contrasting compositions.
With artificial intelligence poised to assist in profound scientific discoveries that will change the world, Cornell is leading a new $11.3 million center focused on human-AI collaboration that uses mathematics as a common language.
Cornell biologists report that fruit flies’ visual system, not just chemical receptors, is deeply involved in their social behaviors, which sheds light on the possible origin of differences in human social behaviors, such as those seen in people with autism.
Cornell scientists have revealed a new phase of matter in candidate topological superconductors that could have significant consequences for condensed matter physics and for the field of quantum computing and spintronics.