AI, Machine Learning, and Data-Driven Decisions

How can we generate, collect, and curate unprecedented volumes of data to make sound decisions, train machines, and decipher broader meaning in the output from artificial intelligence?
A student works with wires and computer software

Staying at the forefront of the rapidly evolving fields of data-driven decision-making and artificial intelligence is one of the most exciting challenges of our time. Achieving general artificial intelligence that rivals human intelligence in problem-solving, reasoning, perception, and energy efficiency will require advanced hardware to gather and process vast amounts of data. We are pushing the frontiers in all these areas through active cross-campus collaborations, including partnerships with Weill Cornell Medicine and Cornell Tech in New York City.

  • 100

    Number of Schmidt AI in Science postdoc fellowships Cornell will grant before 2029.

  • 6

    Autonomous cars, including Cornell Engineering’s, that successfully completed the DARPA Urban Challenge.

  • 6,884,613

    Hours of computing on Red Cloud – Cornell’s on-campus research cloud service.

  • 4,500

    Square footage of the Cornell Computer Systems Laboratory housed in Rhodes and Gates halls.

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Algorithms developed in the Laboratory for Intelligent Systems and Controls can predict the in-game actions of volleyball players with more than 80% accuracy, and now the lab is collaborating with the Big Red hockey team to expand the research project’s applications.

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