News

6/18/19
An article in Fortune about a deepfake video published on YouTube that appears to show Game of Thrones actor Kit Harrington – in character as Jon Snow – apologizing for several mistakes made during the controversial eighth season of the hit HBO show quotes testimony by David Doermann, made during a House Intelligence Committee hearing last week.
6/18/19
Experts propose feds use sanctions and cyberweapons to fight deepfakes
6/18/19

Ethics in curriculum will be a requirement as opposed to an afterthought, organizers say.

6/17/19
An article on American Military News reports on testimony presented to the House Intelligence Committee by David Doermann, director of UB’s Artificial Intelligence Institute and an Empire Innovation Professor in the Department of Computer Science and Engineering, about “deepfakes,” artificial intelligence that now allows people to compose entirely made-up videos that show politicians saying things they never said.
6/14/19
An article in the Buffalo News reports on testimony presented to the House Intelligence Committee by David Doermann, director of UB’s Artificial Intelligence Institute, about “deepfakes,” artificial intelligence that now allows people to compose entirely made-up videos that show politicians saying things they never said.
6/14/19
A story on CBS News about experts testifying before the House Intelligence Committee about the threats that “deepfake” videos and other types of artificial intelligence-generated synthetic data pose to the U.S. election system reports witnesses at today’s hearing include David Doermann, Empire Innovation professor in the Department of Computer Science and Engineering, and director of the Artificial Intelligence Institute.
6/7/19

Deepfakes pose a disinformation threat capable of disrupting the 2020 election, Doermann says.

6/4/19
CSE Assistant Professor Shi Li’s project aims to leverage cutting-edge techniques in mathematical programming to advance our understanding of fundamental scheduling problems involving a set of dependent tasks over a collection of machines. Successful completion of the project, entitled “Approximate Scheduling Algorithms via Mathematical Relaxations,” will not only yield improved algorithms for fundamental scheduling problems, but will also enhance our understanding of advanced mathematical relaxation techniques.
6/4/19
CSE Assistant Professor Karthik Dantu’s project, entitled “Enabling Seamless Vision Sensing in Cloud-Edge Systems,” will develop computing solutions between the cloud and edge/mobile devices to enable more complex visual sensing on mobile/wearable devices for applications in augmented reality, virtual reality, face recognition, activity recognition and others. He will develop software frameworks to allow easier deployment of future visual sensing applications through multi-sensor fusion, providing spatial awareness on edge devices and smartly moving the computation between the edge and the cloud.
6/4/19
CSE Assistant Professor Jaric Zola’s award, entitled “Scalable Software and Algorithmic Infrastructure for Probabilistic Graphical Modeling,” seeks to simplify and improve how researchers and practitioners, especially in the biomedical domain, use advanced cyberinfrastructure for data analytics. The project aims to introduce a parallel framework of fundamental operations, like data management or scheduling of computations, to accelerate learning of probabilistic graphical models. By developing high-level and intuitive programming models, Zola aims to make high performance computing more accessible.