Computer vision is a sub-field of artificial intelligence (AI) that helps train computers to scan, interpret, and understand the physical world. Machines are now able to “see” imagery from a variety of formats like digital photographs and videos, to precisely identify and even classify objects. Computer vision applications can help scientists, researchers, manufacturers, and others sort through mountains of data to help them make better decisions to solve problems and to find solutions to major issues. Computer vision is also powering facial recognition and deepfake applications. We are starting to see our society transformed because of AI, so having a better understanding of what it is and what it is capable of doing is essential.
In this webinar:
· Learn how computer vision works and what it is capable of doing,
· Appreciate the history of AI and see how computer vision fits within that field,
· Explore ways to use computer vision in your library and other institutions,
· Discuss the pros and cons of computer vision to see how it will affect society.
Original broadcast August 5, 2020
Biography ~ Chad Mairn
Chad Mairn is an Information Services Librarian, Assistant Professor, and manages the Innovation Lab at St. Petersburg College. While an undergraduate studying Humanities at the University of South Florida (USF), Chad was awarded a Library of Congress Fellowship archiving Leonard Bernstein’s personal papers. During his Library and Information Science (LIS) graduate work, also at USF, Chad became a technology liaison between the Bill Gates Learning Foundation and Florida public libraries. In 2016, Chad received a League of Innovation Excellence Award in Teaching and Learning for Innovation in the Use of Technology.