A new quantum computing-based optimization framework developed at Cornell could reduce energy consumption in large data centers handling artificial intelligence (AI) workloads by as much as 12.5% and reduce their carbon emissions by as much as 9.8%.

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Machine Learning

A new quantum computing-based optimization framework developed at Cornell could reduce energy consumption in large data centers handling artificial intelligence (AI) workloads by as much as 12.5% and reduce their carbon emissions by as much as 9.8%.

In its world-class research and teaching, Cornell Bowers CIS is uniquely positioned to guide tomorrow’s innovators as they dive into issues of ethics, fairness and privacy, while weighing the policy implications of technological advances.

Researchers have developed an AI tool that uses machine learning and large language models to identify treatment options based on patients’ diagnoses, demographic information and priorities.

One year since Dead & Company’s iconic show at Barton Hall, proceeds from the fundraiser have begun to flow to its climate-fighting recipients.

A new study supported in part by NIH and reported in Science Translational Medicine suggests that in some people with RA, the joint lining may direct the growth of pain-sensing neurons to cause pain in the absence of inflammation. This discovery, made possible with the …
A unique project team enables Cornell undergraduates to use emerging open-source hardware to design, test and fabricate their own microchips – a complex, expensive process that is rarely available to students.

20 Eric and Wendy Schmidt AI in Science Postdoctoral Fellows presented their ongoing research projects during an end-of-year showcase for the AI for Science course (CS 6703) held April 19 in Gates Hall.

For the first time ever, experts in veterinary medicine, AI researchers, industry pioneers, and thought leaders from around the world gathered at to the College of Veterinary Medicine (CVM) for the Symposium on Artificial Intelligence in Veterinary Medicine.