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. 

​The U.S. National Science Foundation (NSF) has announced a $50 million investment to advance 10 multidisciplinary research teams to Phase 2 of its Convergence Accelerator program. These teams are developing practical applications in areas such as quantum technology, climate change mitigation, disaster management, and biothreat detection. The initiative emphasizes a convergence approach, integrating diverse disciplines and human-centered design to address pressing societal challenges. Over the next two years, the selected teams will engage in innovation and entrepreneurial training, focusing on product development, intellectual property, financial planning, and outreach to transition their concepts into sustainable solutions.

​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. Human-centered science students will gain computational skills and earn a graduate certificate in AI, while data science students will delve into social science methodologies and ethics, earning a certificate in human-centered sciences. The program, led by principal investigator Susan Brennan, seeks to address biases in data and AI systems by fostering collaboration between disciplines.

​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. The piece also addresses the potential for AI to drive a productivity boom, while noting concerns about job displacement and the need for thoughtful public policy to manage the transition