Mako, a faculty-led startup based at Cornell Tech, raises $8.5 million

Mako, co-founded by assistant professor Mohamed Abdelfattah, sets out to tackle one of artificial intelligence’s most pressing infrastructure challenges: optimizing the computing efficiency of graphics processing units.

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Login system helps spot online hacks without sacrificing privacy

A new system developed by Cornell Tech researchers helps users detect when their online accounts have been compromised — without exposing their personal devices to invasive tracking by web services.

Researchers uncover hidden risks of passkeys in abusive relationships

The research introduces the first framework for analyzing how digital authentication tools can be exploited in contexts such as intimate partner violence, elder abuse and human trafficking.

Time-lapse video made easy – the camera’s in your pocket

A Cornell research group has developed software that could let anyone with a camera-equipped mobile phone capture subtle changes over time – of, say, a construction site or the changing seasons – and turn them into a panoramic time-lapse video.

Associate professor Yoav Artzi honored with Test of Time award

The Test of Time Award recognizes research that continues to shape the field years after its publication.

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Inaugural CUNY Honors Connect cohort presents research

This summer, Cornell Tech welcomed the first-ever cohort of the City University of New York (CUNY) Honors Connect program, which culminated in a showcase of student-led research on July 31.

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SAIL sets a course for smarter trade compliance with AI

As tariffs shift and trade regulations grow more complex, a team of Cornell Tech students is developing a smarter solution to address modern trade compliance challenges.

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Blockchain platform securely digitizes public records

Ava Labs, a company with roots at Cornell, recently announced that its Avalanche blockchain platform will be used for the largest deed tokenization project in history.

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Hiding secret codes in light protects against fake videos

A team of Cornell computer science researchers has developed a way to “watermark” light in videos, which they can use to detect if video is fake or has been manipulated, another potential tool in the fight against misinformation.