The article "With post-pandemic AI, we've now stepped into the Age of Acceleration" from VentureBeat discusses how the COVID-19 pandemic has accelerated the adoption and integration of artificial intelligence across various industries. It highlights AI's expanding role in fields such as semiconductor design, software development, and even classical sculpting, emphasizing its capacity to augment human activities and significantly speed up production processes.

Stony Brook University has received a nearly $3 million National Science Foundation Research Traineeship (NRT) award to support a five-year interdisciplinary graduate training program in data science and artificial intelligence. The initiative aims to cross-train PhD students from eight departments across the College of Arts and Sciences and the College of Engineering and Applied Sciences. Hum

Ramana Davuluri, a professor in the Department of Biomedical Informatics and Director of the Bioinformatics Shared Resource at Stony Brook Cancer Center, is leveraging artificial intelligence to enhance cancer research. His work focuses on analyzing genomic and molecular data to better understand cancer biology and improve treatment specificity. By applying machine learning algorithms to gene

Stony Brook University is developing "AI-Grid," an artificial intelligence-enabled autonomous grid aimed at enhancing the resilience of power infrastructure against cyberattacks, faults, and disasters. Led by Professor Peng Zhang, the project is supported by a $5 million cooperative agreement from the National Science Foundation's Convergence Accelerator Program. The initiative involves a multidisciplinary team and over 30 partnerships with utilities, government agencies, and research institutions. AI-Grid integrates deep learning, encrypted control, and active fault management to create a lightweight, secure, and replicable solution for modernizing electrical grids. 

In December 2020, researchers led by Michael Birnbaum at the Feinstein Institutes for Medical Research demonstrated that an AI algorithm could predict psychiatric diagnoses up to 18 months before official diagnosis by analyzing Facebook messages and photos from 223 volunteers. The AI identified linguistic and visual markers associated with mood disorders and schizophrenia spectrum disorders, achieving accuracy comparable to traditional screening tools like the PHQ-9 survey.

In November 2020, Stony Brook University unveiled its Ookami supercomputer, powered by Fujitsu's A64FX Arm-based processor—the same technology behind Japan's Fugaku, the world's fastest supercomputer at the time. This installation marked a significant advancement in the university's computational capabilities, enabling researchers to tackle complex scientific challenges with enhanced efficiency.