Latest stories, updates, and announcements that highlight the people, research, and progress of AI throughout Cornell.

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AI Headlines from Around the University

Cornell expands AI Critical Literacy Program for incoming students

After a successful pilot launch in the spring, Cornell’s AI Critical Literacy Program will be offered in the fall to all incoming students as well as other interested students, faculty members and staff.

Strike a pose: Creating more realistic multi-person images

A Cornell research group has devised a way to generate an image of multiple people, incorporating the poses of all individuals to inform the image generation and make the scene more believable and accurate.

Weak AI regulation may backfire, making products less safe

A new modeling study finds no regulation of AI products and services may be safer than weak regulation.

Inside baseball: AI-enabled enforcement tech takes time, testing

Training artificial intelligence to enforce even seemingly straightforward rules – like balls and strikes in Major League Baseball – is a messy, dynamic process that takes time and careful evaluation of the technology.

‘Moonshot’ project aims to restore trust in the digital public sphere

Researchers have received a seed grant for $250,000 and a chance at a $10 million award to support a project aimed at using artificial intelligence to establish a foundation for trustworthy AI-mediated communication across online platforms.

A color graphic showing the concept of AI language

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Female AI ‘teammate’ engenders more participation from women

June 10, 2024

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.

Dean Bala speaking at podium

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Successful Artificial Intelligence Event Inspires Large Audience on May 29

June 5, 2024

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.

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Twin Bowers CIS Entrepreneurs Bring AI to Academica

June 1, 2024

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.

hand shacking robotic hand

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Cornell Keynotes podcast: Current trends in generative AI tech

May 30, 2024

Karan Girotra, a professor at the Cornell SC Johnson College of Business and Cornell Tech, explains the current capabilities of AI and shares newsworthy updates about the technology on the Cornell Keynotes podcast.

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Quantum AI framework targets energy intensive data centers

May 23, 2024

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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Through research and education, Bowers CIS is shaping fairer, ethical AI

May 20, 2024

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.

Cornell university skyline with blue skies

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NYT: A.I. Program Aims to Break Barriers for Female Students

May 15, 2024

A new program, backed by Cornell Tech, M.I.T. and U.C.L.A., helps prepare lower-income, Latina and Black female computing majors for artificial intelligence careers.

sky view of Cornell's campus

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Projects funded by 2024 New Frontier Grants look toward the future

May 15, 2024

The College of Arts and Sciences has awarded five New Frontier Grants to cutting edge projects in science, social science and the humanities led by A&S faculty, some with collaborators from other colleges.

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AI may improve doctor-patient interactions for older adults with cancer

May 15, 2024

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.