The University at Buffalo is a national leader in artificial intelligence, from research and application to educational programs. UB continues to make strategic investments in people, programs and facilities to enhance the university’s national leadership in AI — including courses that highlight intersectionality between AI and education — to prepare the next generation of students for success.
UB utilizes AI’s machine learning capabilities to boost health equity in the community, including increased disease surveillance, accurate diagnostics, digital pathology and enhanced safety of medical products and processes.
Venu Govindaraju, PhD, is the Vice President for Research and Economic Development, a SUNY Distinguished Professor in Computer Science and a nationally and internationally recognized research scientist in artificial intelligence who pioneered the Handwriting Interpretation System now used by USPS. Serving on the SUNY AI Taskforce as co-chair, he will work to outline a 5-year strategy for harnessing AI in education, as well as developing training across the SUNY 64-member campus system to create a highly skilled NYS workforce in AI. Govindaraju has garnered more than $95M in research funding – including $20M from the National Science Foundation and the Institute of Education Sciences (IES) – to establish the National AI Institute for Exceptional Education, for which he is Director and PI.
UB leads the National AI Institute for Exceptional Education - funded by the National Science Foundation and U.S. Department of Education – which aims to close educational gaps by developing advanced AI technologies to aid nearly 3.4 children in the U.S. with speech and language processing challenges. The five-year, $20 million institute will develop assistive technologies to help provide earlier universal screening to school-aged children who are at a higher risk of falling behind in their educational development. The institute is working to combat the nationwide shortage of speech-language pathologists (SLP) exacerbated during the COVID-19 pandemic.
UB pioneers the use of artificial intelligence enabled by the convergence of big data, machine learning and high-performance computing systems to discover innovations to transform the healthcare industry. UB is well-positioned to shape the future of AI-assisted, human-centered healthcare through a comprehensive understanding of healthcare data as well as the biological and clinical problems underlying patient care. As a national leader in engineering, medicine and the health sciences, AI can be a helpful tool in understanding the contributions to disease, predicting patient responses to drugs or medical interventions, and addressing global health challenges by tracking the spread of infectious diseases.
Xiong, a leading expert in AI algorithms and applications, explains how AI's untapped possibilities have the potential to improve lives and create a better world for all.
Siwei Lyu, director of the UB Media Forensic Lab at SUNY Buffalo, discusses the art of deepfakes, and what makes them particularly difficult to distinguish from reality.
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