Transformational Technology

two people standing in front of a wall of computer images.

Emerging and future technologies in areas like Artificial Intelligence (AI), data science and quantum science are transforming our world. These fields are driving innovations in robotics, healthcare, materials science, autonomous vehicles, and countless other areas that are key to the United States’ and the world’s future economy and security.

UB has a rich history of research in these areas that dates back decades, to when our computer scientists developed a handwriting recognition system for the U.S. Postal Service. More recently, UB has made strategic investments in both people and programs to enhance the university’s AI, data science and quantum capabilities. UB faculty members in engineering and the sciences have been working on novel materials that are potentially relevant for the “quantum revolution 2.0.” We are at the forefront of this field. Researchers in AI and data science are supported by the Institute for Artificial Intelligence and Data Science (IAD), which brings together researchers, labs, institutes, and centers of excellence at the University at Buffalo to drive the future of transformational intelligent systems. UB recently received $20 million from the National Science Foundation to establish the AI Institute for Exceptional Education, a national institute that develops artificial intelligence systems to identify and assist young children with speech and/or language processing challenges.

Through the Advancing Top 25 faculty hiring initiative, UB will continue building our capacity to address complex problems in the fields of AI, data science, quantum science, medicine and related areas. Specific hiring areas include AI theory development, natural language processing, customized and connected learning; autonomy science and autonomous systems; data fusion and intelligence modeling for connected mobility; big data; AI-guided quantum material design; quantum technology for particles; high-throughput quantum material synthesis; AI in biochemistry, physiology and biophysics; and business impact of technology developments.