Co-located in Silicon Valley and Beijing, Baidu Research brings together top talent from around the world to focus on future-looking fundamental research in artificial intelligence. Our research directions include deep learning, computer vision, speech recognition and synthesis, natural language understanding, data mining and knowledge discovery, business intelligence, artificial general intelligence, high performance computing, robotics and autonomous driving. At Baidu Research, we aim to revolutionize human-machine interfaces with the latest artificial intelligence techniques. Our Deep Voice project was [...] The AAAI (Association for the Advancement of Artificial Intelligence) is one of the world's premiere artificial conferences, with annual summits [...] Today, we are excited to announce the hiring of three world-renowned artificial intelligence scientists, Dr. Kenneth Church, Dr. Jun Huan [...]
New York's bid to identify road-going terrorists with facial recognition isn't going very smoothly so far. The Wall Street Journal has obtained a Metropolitan Transportation Authority email showing that a 2018 technology test on New York City's Robert F. Kennedy Bridge not only failed, but failed spectacularly -- it couldn't detect a single face "within acceptable parameters." An MTA spokesperson said the pilot program would continue at RFK as well as other bridges and tunnels, but it's not an auspicious start. The problem may be inherent to the early state of facial recognition at these speeds. Oak Ridge National Laboratory achieved more than 80 percent accuracy in a study that spotted faces through windshields, but that was at low speed.
Recent advances in deep learning for image recognition have spawned numerous challenge-based learning competitions in which participants can use a low-cost GPU graphics card to accomplish goals that required expensive resources in the recent past. Students are encouraged to explore this exciting new field of research by entering these competitions. Scooter Willis, "Stand on the Shoulders of Giants", Computer, vol.
American law enforcement agencies have created a massive facial recognition database. If you're an adult in the US, you might already be in it. According to a comprehensive report by the Center for Privacy & Technology at Georgetown Law, the law enforcement's database has 117 million American adults on file. The report says authorities used driver's license IDs from 26 states to build the database, which includes people who've never committed any kind of crime before. That's already a problem in and of itself, but it's compounded by the lack of oversight on how it's used.