An architecture and computer graphics alum returned to the Hill this summer to draw images from landscapes—and memories
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Rev: Ithaca Startup Works puts new entrepreneurs through their paces
Over 10 weeks this summer, Rev’s Prototyping Hardware Accelerator guided product teams from back-of-the-napkin ideas to fully-fledged startups. In categories from climate technology to agricultural innovations, and with projects that range from canoe racing tools to improved tea dispensers, teams gained access to experts in their industry’s field, working together to figure out if their concept might be commercially desirable, technologically feasible and economically viable.
Machine learning helps define subtypes of Parkinson’s disease
Researchers at Weill Cornell Medicine have used machine learning to define three subtypes of Parkinson’s disease based on the pace at which the disease progresses.
Ultrasensitive liquid biopsy tech spots cancer earlier than standard methods
An artificial intelligence-powered method for detecting tumor DNA in blood has the potential to improve cancer care with the very early detection of recurrence and close monitoring of tumor response during therapy.
Quantum AI framework targets energy intensive data centers
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%.
Through research and education, Bowers CIS is shaping fairer, ethical AI
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.
AI may improve doctor-patient interactions for older adults with cancer
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.
Machine Learning Study Offers Clues to Why Some People Have Rheumatoid Arthritis Pain Without Inflammation
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 help of machine learning, suggests potential new ways to treat this painful disease.