UB's Expertise in Artificial Intelligence
The University at Buffalo is a leader in pursuing artificial intelligence for social good. 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. As a flagship university of New York State, UB is home to Empire AI, a $400 million statewide consortium and supercomputing center to be located on the North Campus that aims to make the state a national leader in AI research and innovation.
Empire AI
USHERING IN A NEW ERA OF AI
UB is the home base of Empire AI, a $400 million statewide consortium where public and private research institutions can convene and leverage artificial intelligence to address societal challenges. Empire AI will accelerate critical research and innovation and serve as a reliable, trustworthy source of information as technologies continue to evolve.
AI for Social Good
UB’s robust research environment enables AI scholars to push the boundaries of innovation in cybersecurity, drug discovery and medicine, education, environmental science and more. For almost five decades, UB has been conducting groundbreaking research in machine learning and building a reputation as a “national and international powerhouse” in harnessing AI for public good.
AI in Education
UB leads the National AI Institute for Exceptional Education - funded by the National Science Foundation and the Institute of Education Sciences of the US Department of Education – which aims to close educational gaps by developing advanced AI technologies to aid nearly 3.4 million 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.
AI in Healthcare
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. As a national leader in artificial intelligence, UB is well-positioned to shape the future of human-centered, AI-assisted, healthcare through a comprehensive understanding of data as well as the biological and clinical problems underlying patient treatment.
Artificial Intelligence Centers and Institutes
National AI Institute for Exceptional Education
The National AI Institute for Exceptional Education is an NSF-funded National Artificial Intelligence (AI) Research Institute led by the University at Buffalo dedicated to assisting children with speech-and-language acquisition challenges.
Artificial Intelligence Centers and Institutes
Institute for Artificial Intelligence and Data Science
The Institute for Artificial Intelligence and Data Science (IAD) brings together researchers, labs, institutes and centers of excellence at the University at Buffalo focused on advancements in AI, data science and related areas of research to tackle complex problems.
Artificial Intelligence Centers and Institutes
Center for Information Integrity
The Center for Information Integrity (CII) is devoted to the identification, amelioration and combating of misleading information in the public sphere.
Artificial Intelligence Centers and Institutes
Center for Unified Biometrics and Sensors
The Center for Unified Biometrics and Sensors (CUBS) is focused on advancing the fundamental science of biometrics and integrating software algorithms for accurate identification (various biometrics) and data analysis (informatics).
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 five-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.
Jinjun Xiong
Xiong, a leading expert in AI algorithms, has developed a program that can detect early signs of disease in plants to optimize growth, enhance agriculture and combat food insecurity.
Ifeoma Nwogu
Nwogu, a top expert in AI and facial recognition, shares her perspective on the devastating effects of bias and discrimination in facial recognition software.
Siwei Lyu
Lyu, a national expert in cybersecurity, has been tapped to lead a $1.8 million initiative to strengthen artificial intelligence models within the U.S. Department of Defense.
Rohini Srihari
Srihari, a leading expert in virtual assistants and digital literacy, is aiding in the development of a digital program that teaches older adults how to avoid online scams.
QAS.AI develops solutions for real-time assistance during endovascular procedures. The company’s AI-driven software can be used during surgery to detect areas of inadequate blood flow in the brain and predict efficacy of aneurysm correction six months after embolization.
With the support of UB’s Business and Entrepreneurial Partnerships, StarCo Lighting partnered with Jinjun Xiong who developed an AI system to monitor plant health. The collaboration created a camera-computer system that observes the vegetation and automatically adjusts the color and temperature of grow lights to improve yields.
V-Markings brings real-time updates of road changes to the autonomous vehicle industry. The company’s technology detects changes to the road networks, empowering Advanced Driver Assistance Systems, HD Maps, and other end users with an always up-to-date picture of the real world. V-Markings data provides access to rich insights and time-critical information, including work zones, pattern changes, and new construction.
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UB’s AI applications span a vast array of disciplines: From improving medical diagnostics to identifying deepfakes, our researchers utilize AI’s capabilities to solve the world’s most complex challenges.
