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Machine learning predicts antibiotic resistance spread

Cornell researchers used machine learning to predict with near-perfect accuracy how genes are transferred between bacteria, an approach that could potentially be used to stop the spread of antibiotic resistance.

Cornell mathematicians featured at International Congress of Mathematicians

Five Cornell mathematicians from the College of Arts and Sciences have been invited to speak at the world-renowned International Congress of Mathematicians (ICM) this year.

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Ansys founder Swanson receives engineering alumni award

John A. Swanson ’61, M.Eng. ’63, noted innovator in the application of finite-element methods of engineering, was honored with the 2021 Cornell Engineering Distinguished Alumni Award on Oct. 14.

Hans Bethe Lecture to illuminate black hole paradox

In the Fall 2021 Hans Bethe Lecture, physicist Andrew Strominger will describe the compelling progress made towards understanding black holes as well as future prospects for our understanding of black holes. The lecture will take place Oct. 27.

Gene editing, brand acquisition, neural dust: Kessler Fellows devote summer to startups

While some returning students left behind long days at the beach and summer barbeques, the student entrepreneurs in the 2021 cohort of the Kessler Fellows program returned having completed 10-week internships with startups around the nation.

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Cornell scientists to join team for live volcanic eruption

Associate professor Esteban Gazel and grad student Kyle Dayton will join a team of international researchers at the newly erupted Cumbre Vieja volcano in the Canary Islands.

Titan’s river maps may advise Dragonfly’s sedimental journey

Cornell astronomers have published the final maps of Saturn moon Titan’s liquid methane rivers and tributaries, providing context for the next scheduled expedition in the 2030s.

Weiss teaching awards honor 10 exceptional faculty

President Martha E. Pollack on Oct. 18 announced the winners of Stephen H. Weiss Awards honoring a sustained record of commitment to the teaching and mentoring of undergraduate students and to undergraduate education.

Packard fellow McMahon rethinks neural-network computing

Using a Packard Fellowship for Science and Engineering from the David and Lucile Packard Foundation, Peter McMahon, assistant professor of applied and engineering physics, aims to harness the power of photonics to build processors for neural networks that are more than 1,000 times more energy efficient.