A new study suggests that the gender of an AI’s voice can positively tweak the dynamics of gender-imbalanced teams and could help inform the design of bots used for human-AI teamwork.
Cornell AI News
News Category
Machine Learning
Filter by Topic
Successful Artificial Intelligence Event Inspires Large Audience on May 29
The Emerging Tech Dialogues event on May 29, 2024 — the first in a new series — drew more than 750 registrations from Cornell, Weill Cornell Medicine, and Cornell Tech faculty, staff, students, and researchers — all interested in exploring Artificial Intelligence in Higher Education, the symposium’s theme.
Twin Bowers CIS Entrepreneurs Bring AI to Academica
Twins Alsa Khan and Muhammad Jee explain how their AI platform, Mr. EzPz, could help to make artificial intelligence more reliable for students as well as educators.
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.
Dead & Company concert funds $800K for new climate solutions
One year since Dead & Company’s iconic show at Barton Hall, proceeds from the fundraiser have begun to flow to its climate-fighting recipients.
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.