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President Sian Leah Beilock, left, holds a keynote conversation with Mira Murati.

Oct 29, 2026   |   Dartmouth News

Dartmouth Convenes Landmark 'AI at 70' Conference

Leading figures in artificial intelligence—including Mira Murati Th'12, co-founder and CEO of Thinking Machines Lab—weigh in on how to center human judgment.

News

Professor Peter Chin works in his office.

Oct 20, 2026 | Dartmouth News

Looking Ahead to the 'AI at 70' Conference

Mikey Wise visits the Irving Institute during the 2025 Experience Irving event.

Oct 13, 2026 | Irving Institute

Student Spotlight: Mikey Wise '29

PhD student Grant Summermatter poses with the half-built bonfire.

Sep 28, 2026 | Dartmouth News

Dartmouth Night Bonfire Returns to Homecoming

In the News

The Times of India

Nov 03, 2026

She Studied Mechanical Engineering, Worked at Tesla, and Helped Build ChatGPT: The Unusual Journey of Mira Murati

A profile of Mira Murati, Thayer '12, and former OpenAI chief technology officer, traces her education and career, including from obtaining a master's in mechanical engineering at the Thayer School of Engineering to leading the development of ChatGPT and founding AI startup Thinking Machines Lab.

Imperial Valley Press

Oct 30, 2026

OPINION: Don't reinvent the law that put a camera in your pocket

In an opinion piece, Professor Eric Fossum reflects on his role in developing the CMOS image sensor used in smartphones and argues for preserving the Bayh-Dole Act, which enables the commercialization of federally funded research.

Valley News

Oct 30, 2026

‘What Must Remain Human?’ Dartmouth AI Conference Opens Without a Clear Answer

A feature on the keynote session by Mira Murati, Thayer '12, on Oct. 29 at Dartmouth's AI at 70 Conference: What Must Remain Human? marking the 70th anniversary of the 1956 summer workshop where the term "artificial intelligence" was coined.

WCAX

Oct 29, 2026

Dartmouth hosts AI conference on what must remain human

Professor Peter Chin and U.S. Sen. Kirsten Gillibrand '88 are featured in an article about Dartmouth's AI at 70 conference, marking the 70th anniversary of the 1956 Dartmouth Summer Research Project on Artificial Intelligence.

Research Quick Takes

Map of part of the network of regional airline Mesa and mainline carrier United Airlines.

Oct 29, 2026

Optimizing Regional Airlines

Professor Vikrant Vaze is co-author of "Integrated Schedule Planning for Regional Airlines Using Column Generation" published in Transportation Science. "Where, how often, when, and with what aircraft an airline operates its flights decides passenger demand and costs. Ours is the first study to jointly optimize all these decisions by developing a new algorithm resulting in significant profit improvements and better ability to serve small and rural communities with connections to larger hub airports," said Vaze.

Peter Bertone presenting at the ARMI summit

Oct 29, 2026

ARMI Breakthrough Technology Award

PhD Innovation Program Fellow Peter Bertone, co-founder and CEO of GyroGel, presented his company's patient-specific facial bone graft substitute at the Advanced Regenerative Manufacturing Institute (ARMI) Investment Summit, and received their 2026 Breakthrough Technology Award. "As part of the award, GyroGel will be automatically enrolled in BioFab Startup Lab Cohort 5 and receive commercialization support to help advance the technology toward scalable manufacturing." wrote ARMI.

Yuanhao Chen presenting at the ACM conference.

Oct 22, 2026

Best Paper: Speech Neuroprosthesis

PhD student Yuanhao Chen '25 received the Best Paper Award at the Association for Computing Machinery's International Conference on Multimodal Interaction in Napoli, Italy. The paper, co-authored with Professor Peter Chin, is titled, "MoDAl: Self-Supervised Neural Modality Discovery via Decorrelation for Speech Neuroprosthesis." Said Chen, "Professor Chin and I developed a multimodal LLM-based system that converts the brain activity of a speech-impaired person with bulbar-onset ALS, recorded by implanted electrodes as they try to speak, directly into text. While earlier systems discarded signals from Broca’s area due to degraded performance, our system learns to extract complementary information from Broca's area, and it makes about 18% fewer word errors than the best previous system that decodes end-to-end, in a single step."