Cornell Tech Studio startup Hyro raises $45 million to scale voice AI in healthcare

Hyro, a health tech startup founded at Cornell Tech that is tackling healthcare inefficiencies through voice AI agents, raised $45 million.

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New Cornell Tech scholarship honors LegalTech leader Michael Mills

Cornell Tech has launched the Michael Mills Memorial LegalTech Scholarship, honoring an influential figure in legal technology.

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Semlitz Fellowship builds bridges between sustainability science and business

The Semlitz Family Sustainability Fellows program brings together MBA and early career science students to strengthen the intersection between sustainability science and business decision making.

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'Songs in Flight,' inspired by Cornell-based project, receives Grammy nod

Based on poems by A&S alumna Tsitsi Ella Jaji, M.A. ’06, Ph.D. ’08, the songs by Shawn Okpebholo bring to life individual stories preserved by the Cornell-based Freedom on the Move project.

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Robotics, exoplanets, quantum theory earn Research Excellence Awards

Revealing how psychiatric drugs reshape the brain and designing next-generation missions to find distant worlds are among the research themes that helped faculty earn Cornell Engineering Research Excellence Awards, the college’s highest recognition for groundbreaking scientific impact.

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Soil molecular diversity spikes as microbes decompose plants

As soil microbes break down plant residues, they produce a diverse set of molecules, but this diversity starts to fall after the initial phase of decomposition (roughly 32 days). Understanding how soils retain or emit carbon dioxide during this process may inform climate change resilience efforts.

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Teiger Foundation gift advances AAP's Teiger Mentor in the Arts Program

Cornell AAP announces funding to continue the Teiger Mentor in the Arts program, which brings a remarkable slate of internationally acclaimed faculty artists to the college, including Spring 2026 Teiger Mentor Mary Mattingly.

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Quantum mechanical molecular ‘fingerprints’ solve machine learning mystery

The new method, Semi-Local Density Fingerprints (SLDFs), can predict molecular properties with up to 100 times more accuracy than the current most popular method for modeling molecules and materials.

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Celebrating the journey with our December A&S grads

Three A&S grads share their journeys through Cornell.

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