A new study by researchers at Cornell Tech and the University of Pennsylvania shows freelance writers who are suspected of using AI have worse evaluations and hiring outcomes.
Cornell researchers have found the developers of large language models and the educators who use them have different ideas about the potential harms they may cause, a finding that researchers say underscores the need for educators to be more involved in the tools’ development.
Cornell researchers are helping upgrade the CMS detector at CERN, as LHC collaborations win the 2024 Breakthrough Prize for fundamental physics discoveries.
Cornell's Scientific Computing Training Series starts February 5, featuring webinars on AI, getting started with GPUs, Python, HPC job optimization and data transfer, data science, and data analysis with R.
Dan Kowal, associate professor of statistics and data science in the College of Agriculture and Life Sciences, has developed a new Bayesian regression analysis method that’s more flexible, accurate and easy to use.
Cornell researchers are working to understand how robots can assist humans in dangerous and physically challenging environments, but the project, which is funded by the U.S. Department of Defense, has been halted by a stop-work order.
Integrating AI into environmental control systems could reduce energy consumption for indoor agriculture by 25% – potentially helping to feed a growing world population.
Researchers found that home care workers, care agency staff and worker advocates lack understanding of AI technology, its data usage and the reasons AI systems retain their information.
Project teams in Rev: Ithaca's Prototyping Hardware Accelerator will present their ideas – from AI cocktail generators to plastic recycling machines - at Demo Day on July 31.