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.

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Students win NASA grant to develop AI for safer aerial traffic

May 14, 2024

The skies may soon be congested with drone traffic. A multidisciplinary team received a grant from NASA to develop new models to coordinate these drones, which may someday deliver packages – or even people.

A color graphic showing the concept of AI

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Newest EEG lab empowers faculty from multiple disciplines

May 13, 2024

Cornell’s newest interdisciplinary EEG lab could help faculty make breakthroughs in fields ranging from psychology to neurology to artificial intelligence.

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Dead & Company concert funds $800K for new climate solutions

May 9, 2024

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

Man in wheelchair with robot feeding him

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Robotic system feeds people with severe mobility limitations

May 9, 2024

Cornell researchers have developed a robotic feeding system that uses computer vision, machine learning and multimodal sensing to safely feed people with severe mobility limitations, including those with spinal cord injuries, cerebral palsy and multiple sclerosis.

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Machine Learning Study Offers Clues to Why Some People Have Rheumatoid Arthritis Pain Without Inflammation

May 9, 2024

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.

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AI-generated empathy has its limits

May 8, 2024

Researchers from Cornell Tech, Cornell and Stanford University found that, despite their ability to display empathy, conversational agents such as Siri do poorly compared to humans when interpreting and exploring a user’s experience.

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3D video conferencing tool lets remote user control the view

May 7, 2024

Collaborating on a physical object when two people aren’t in the same room can be extremely challenging, but a new remote conferencing system allows the remote user to manipulate a view of the scene in 3D.

Alexios Mantzarlis

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Cornell Tech Launches Security, Trust, and Safety Initiative

May 7, 2024

The new initiative will be led by director Alexios Mantzarlis and aims to become a global hub for researchers, students, and practitioners focusing on online systems security and user safety.

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Students revive classic microchip fabrication with open-source tools

May 6, 2024

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.