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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Cornell Ignite fellows bring lab discoveries closer to market impact

Three new research projects will receive funding and training through the Ignite Fellow for New Ventures program to transform university research into new ventures and products that can benefit society.

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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.

Rev prototyping program teaches entrepreneurs to ‘get messy’ and pivot

Project teams in Rev: Ithaca's Prototyping Hardware Accelerator will present their ideas – from AI cocktail generators to plastic recycling machines - at Demo Day on July 31.

Students learn about AI, engineering through weather balloons

During a week-long outreach program, high school students interested in STEM careers learned about using AI to help weather balloons navigate.

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National Science Foundation announces Cornell-led AI Materials Institute

The NSF, in partnership with Intel, will invest $20 million over five years to establish the Artificial Intelligence Materials Institute at Cornell, as part of the National Artificial Intelligence Research Institutes.

Assistant professor Alex Conway wins SIAM Early Career Prize

The award recognizes Conway's influential contributions to the design and analysis of algorithms, particularly for data storage systems.

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AI tool helps students build confidence speaking foreign languages

The technology, developed by a Cornell doctoral candidate, can simulate conversations with different accents and dialects and gives feedback to users on their grammar and pronunciation.