Michelle, 16, of Troy, Michigan was recognized for her discovery of an artificial intelligence-based algorithm used for human action recognition. Using human silhouettes, she designed and implemented a novel deep learning framework that outperforms all similar state-of-the-art algorithms.

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Catherine, 18, of Jericho, New York, received one of two Regeneron Young Scientist Award of $50,000 for creating a novel hierarchical machine learning model that is able to predict adverse drug reactions with 91% accuracy, along with their underlying biological mechanisms.

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Daniel, 17, of Cary, North Carolina, also received the Regeneron Young Scientist Award of $50,000 for his development of an AI-powered facial-cue control module. Its high speed accelerates scientific discoveries, medicine research, and many other fields driven by large amounts of temporal data. The new algorithm has been adopted by researchers in Sepsis Shock diagnosis and Hurricane predictions.

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John, 16, of Fresno, California, received The Gordon E. Moore Award of $50,000 for Positive Outcomes for Future Generations for his discovery of a novel computer program to accurately predict drought stress in plants using images from a custom-built robotic camera that captures infrared (IR) and visible light reflected off the leaves.

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Arya, 17, of Marlboro, New Jersey received the Craig R. Barrett Award for Innovation of $10,000 for his development of an artificial intelligence model that inter-communicates to collect and analyze environmental data to give each crop its unique ideal irrigation volume. With accessible, affordable, and efficient technology, Arya believes that developing nations can leverage this solution to save trillions of gallons of water yearly.

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Neha, 17, of Bronx, New York received the H. Robert Horvitz Prize for Fundamental Research of $10,000 for her quantitative research of microbiology, which uses a diagnostic method to distinguish bacterial motion to diagnose Inflammatory Bowel Disease (IBD) by mathematically separating swarming from swimming.

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Franklin, 17, of Palo Alto, California received the Peggy Scripps Award for Science Communication of $10,000 for his project engineering machine learning to analyze public telescope data. Through his research, he discovered six never-before-seen near-Earth asteroids. His approach can be applied to any observatory to substantially improve the detection of and search speed for fast moving asteroids (FMAs.)

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