Cornell AI News
Cornell is spearheading the development and refinement of AI through extensive interdisciplinary collaborations.
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Yang Harnesses Generative AI for Teaching Across Disciplines
Dana Yang discusses Teaching Practical Statistical Skills
Virtual, mixed realities converge in new driving simulator
Portobello, a new driving simulator developed by researchers at Cornell Tech, blends virtual and mixed realities, enabling both drivers and passengers to see virtual objects overlaid in the real world.
Joneja Family Fellows boost data science research in medicine
Data science research in medicine is getting a boost at Cornell through the Joneja Family Fellows, which will financially support assistant research professors, graduate students and postdoctoral students affiliated with the Engineering Innovations in Medicine initiative.
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.
AI speech-to-text can hallucinate violent language
Speak a little too haltingly and with long pauses, and OpenAI’s speech-to-text transcriber might put harmful, violent words in your mouth, Cornell researchers have discovered.
Female AI ‘teammate’ engenders more participation from women
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.
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.