In November 2020, Stony Brook University's Institute for Advanced Computational Science installed the Ookami supercomputer, powered by Fujitsu's A64FX Arm-based processor—the same used in the world's fastest supercomputer, Fugaku. This HPE Apollo 80 system, supported by the National Science Foundation and managed with Bright Computing's Cluster Manager, offers researchers nationwide a platform to explore cutting-edge high-performance computing technologies.

In July 2020, researchers from Akai Kaeru LLC, affiliated with Stony Brook University, developed a machine learning tool to identify U.S. counties most at risk from the COVID-19 pandemic. By analyzing factors like population density, age distribution, and healthcare access, the tool aims to assist policymakers in targeting interventions and allocating resources effectively.

In April 2020, Stony Brook University Computer Science Professor Niranjan Balasubramanian initiated a fundraising effort to support COVID-19 relief by donating his original paintings. He offered one of his artworks to anyone contributing $50 or more to a related cause, merging his passion for art with a commitment to assist communities affected by the pandemic

In January 2020, researchers from the Inception Institute of Artificial Intelligence, Beijing Institute of Technology, and Stony Brook University developed a human-aware AI system capable of deblurring faces in photos. The model distinguishes between foreground and background blurs by utilizing masks to separate them. Trained on the Human-aware Image Deblurring (HIDE) dataset and supplemented w

In February 2020, Innovate Long Island announced its 2020 Innovator Awardees, recognizing individuals and organizations driving innovation across the region. The awards highlighted achievements in technology, science, education, and entrepreneurship, celebrating contributions that have significantly impacted Long Island's innovation ecosystem.

In February 2020, researchers from the Inception Institute of Artificial Intelligence, Beijing Institute of Technology, and Stony Brook University developed an AI system capable of reconstructing motion-blurred human faces in photographs. The model distinguishes between foreground and background blurs by utilizing human-aware masks, effectively separating and processing each area. Trained on th

In January 2020, researchers from the Inception Institute of Artificial Intelligence, Beijing Institute of Technology, and Stony Brook University developed an AI system capable of deblurring human faces in photos. The model employs a human-aware approach, distinguishing between foreground and background blurs by utilizing masks to separate them. Trained on the Human-aware Image Deblurring (HIDE

In January 2020, a Stony Brook University-led team received a $4.2 million DARPA KAIROS award to develop AI systems capable of understanding and responding like humans. The project, titled "Structured Generative Models for Multi-modal Schema Learning," aims to create machine learning algorithms that integrate information from text, audio, and video to discern core events from incidental ones. T