{"id":53713,"date":"2025-11-10T14:47:46","date_gmt":"2025-11-10T19:47:46","guid":{"rendered":"https:\/\/engineering.jhu.edu\/case\/?post_type=news&p=53713"},"modified":"2025-11-10T14:47:46","modified_gmt":"2025-11-10T19:47:46","slug":"school-is-in-gpus-allow-team-to-increase-ai-powered-fish-research","status":"publish","type":"news","link":"https:\/\/engineering.jhu.edu\/case\/news\/school-is-in-gpus-allow-team-to-increase-ai-powered-fish-research\/","title":{"rendered":"School is in: GPUs allow team to increase AI-powered fish research"},"content":{"rendered":"

A team led by\u00a0<\/span>Rajat Mittal<\/a>, professor of mechanical engineering and\u00a0<\/span>Somdatta Goswami<\/a>, assistant professor of civil and systems engineering and affiliate of the\u00a0<\/span>Johns Hopkins Data Science and AI Institute<\/a>, was recently granted four of the latest Blackwell graphics processing units (GPUs) by\u00a0<\/span>NVIDIA<\/a>\u00a0<\/span>through the company\u2019s\u00a0<\/span>academic grant program<\/a>. The new GPUs will significantly expand the group\u2019s ability to model the complex dynamics of fish schooling behavior.<\/p>\n

The project aims to understand how individual fish coordinate to move as a collective. With increased computational power, the researchers plan to simulate much larger fish schools than previously possible and apply more sophisticated geometric deep learning models to infer patterns of \u201cbehavior\u201d emerging from these simulations.<\/p>\n

\u201cIf we can solve the mystery of how collective movement arises in animals such as fish, it would reveal the fundamental rules governing group coordination, shed light on ecological and evolutionary processes, and uncover neural and genetic mechanisms underlying social behavior,\u201d Mittal said. \u201cThis equipment grant and the collaboration with NVIDIA will go a long way in helping us achieve that.\u201d<\/p>\n

In the current project, PhD students\u00a0<\/span>Sushrut Kumar\u00a0<\/strong><\/span>and\u00a0<\/strong><\/span>Ji Zhou\u00a0<\/span>use computational fluid dynamics (CFD) simulations to generate high-fidelity datasets based on video observations of real fish schools. Building on this foundation,\u00a0<\/span>PhD student Dibyajyoti Nayak\u00a0<\/span>employs state-of-the-art AI models to identify and interpret the patterns of the subtle coordination strategies that emerge within the school.<\/p>\n

\u201cUnderstanding collective behavior requires bridging physics, biology, and data-driven modeling,\u201d Goswami said. \u201cThese GPUs will let us explore that bridge at a scale we simply couldn\u2019t before. It opens up a new regime of simulations where emergent behavior becomes visible.\u201d<\/p>\n

Earlier, Mittal discovered that a school of fish\u00a0<\/span>is\u00a0<\/span>quieter<\/span>\u00a0<\/span>than an individual fish<\/a>, an insight that suggests efficiency and stealth advantages of collective behavior. However, the team\u2019s progress was constrained by the available computing power, which restricted the duration of their simulations.<\/p>\n

\u201cThe NVIDIA GPUs will allow us to increase, potentially by more than a hundredfold, the size of the fish schools we can model,\u201d Mittal said.<\/p>\n","protected":false},"template":"","class_list":["post-53713","news","type-news","status-publish","hentry","news_categories-awards-and-honors","news_categories-student-experience"],"acf":[],"yoast_head":"\nSchool is in: GPUs allow team to increase AI-powered fish research - Department of Civil & Systems Engineering<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/engineering.jhu.edu\/case\/news\/school-is-in-gpus-allow-team-to-increase-ai-powered-fish-research\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"School is in: GPUs allow team to increase AI-powered fish research - Department of Civil & Systems Engineering\" \/>\n<meta property=\"og:description\" content=\"A team led by\u00a0Rajat Mittal, professor of mechanical engineering and\u00a0Somdatta Goswami, assistant professor of civil and systems engineering and affiliate of the\u00a0Johns Hopkins Data Science and AI Institute, was recently…\" \/>\n<meta property=\"og:url\" content=\"https:\/\/engineering.jhu.edu\/case\/news\/school-is-in-gpus-allow-team-to-increase-ai-powered-fish-research\/\" \/>\n<meta property=\"og:site_name\" content=\"Department of Civil & Systems Engineering\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"School is in: GPUs allow team to increase AI-powered fish research - 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