Nvidia used processing power and neural networks to create a very convincing virtual city, which will be open for tours by attendees to this year’s NeurIPS AI conference in Montreal. Nvidia’s system, which uses existing videos of scenery and objects to create these interactive environments, also makes it easier for artists to create similar virtual worlds. Nvidia vice president of applied deep learning Bryan Catanzaro said generative models are key to making the process of creating virtual worlds cost effective. Continue reading Nvidia Reveals Use of Neural Networks to Create Virtual City

The term “deepfakes” describes the use of artificial intelligence and computer-generated tricks to make a person (usually a well-known celebrity or politician) appear to do or say “fake” things. For example, actor Alden Ehrenreich’s face was recently replaced by Harrison Ford’s face in footage from “Solo: A Star Wars Story.” The technique could be meant simply for entertainment or for more sinister purposes. The more convincing deepfakes become, the more unease they create among AI scientists, and military and intelligence communities. As a result, new methods are being developed to help combat the technology. Continue reading Scientists and Military Look for Key to Identifying Deepfakes

Google has set its sights on combating fake news on the Internet, pledging to spend $300 million over the next three years in support of what The New York Times calls “authoritative journalism.” The Google News Initiative’s goals include making it easier for Googlers to subscribe to news and providing publishers with tools for fast-loading mobile pages. In partnership with Harvard Kennedy School’s First Draft initiative, Google will also create a “Disinfo Lab” to identify fake news, particularly during moments when it’s breaking.

Continue reading Google Pledges $300 Million in Effort to Clean Up Fake News