Forbes reports that UB researchers are developing a robotic system that relies on machine learning and other technologies to autonomously sort plastics, as well as environmentally responsible solvents that breakdown plastics to make them easier to reuse.
WGRZ-TV featured Ken Regan, associate professor of computer science and engineering, in a story about the rise of online cheating in chess competitions during the pandemic.
Canadian Plastics reports UB researchers are developing a robotic system that relies on machine learning and other technologies to autonomously sort plastics, as well as environmentally responsible solvents that breakdown plastics to make them easier to reuse.
Analytics Insight reported on UB research led by Paschalis Alexandridis, UB Distinguished Professor in the Department of Chemical and Biological Engineering, to develop a novel set of tools that aims to reduce plastic waste and decrease the production of plastic.
A story in Nature on four AI technologies that could transform everyday life, mentions technology developed by Siwei Lyu, Empire Innovation Professor in the Department of Computer Science and Engineering, that can detect deepfakes (the manipulation of images or video to replace someone’s likeness).
A story in The Wall Street Journal about the explosive growth of cheating since the chess world moved online as a result of the pandemic includes commentary from Ken Regan, associate professor of computer science and engineering, who is an expert at spotting chess cheaters.
Fox 8 TV news in Cleveland reports on the danger of deepfakes and includes commentary from Siwei Lyu, Empire Innovation Professor in the Department of Computer Science and Engineering, who studies digital forensics.
WGRZ-TV reports on cybersecurity efforts nationwide and locally related to the election. The report mentions that UB computer science students and graduates, under the guidance of professor and cybersecurity expert Shambhu Upadhyaya, have worked with federal agencies safeguarding elections as interns and paid employees.
