Recently, Facebook Chief Technology Officer Mike Schroepfer described at the Web Summit that artificial intelligence (AI) and machine learning (ML) played in the company's promotion of global interconnection, technological commonality, and human-computer interaction. To the major role. VR is a part of AI "People want to be able to connect intimately, so the best technology at the moment is to let people all participate in the technology that comes in," says Skolopf. Some big companies like Facebook play a big role in the artificial intelligence and machine learning ecology because they have abundant capital and enough talent to make the whole industry prosper. Facebook's ambition is to build a global social network. Despite the explosion of the SpaceX Falcon 9 satellite launched in the summer, Facebook is still steadily achieving its goal of connecting the entire world. It is still promoting some basic engineering projects through machine learning, thereby strengthening the interconnection of urban and rural Internet. LiDAR Technology Facebook is using the central network to determine the population gathering center in rural Africa, so as to connect people there through the Internet. For the interconnection of the suburbs, it uses LiDAR technology that supports self-driving cars to determine the location of the population. Facebook's team is drawing a virtual network map based on big data to create a larger network data structure. Currently, for consumers, the easiest way to contact Facebook's machine learning is through the Style Transfer application. This application creates a new mobile deep learning platform, Caffe2Go, which allows users to change the style of video clips artistically and in real time. Chris Cox, Facebook’s chief product officer, has shown this technology so that users can create what they want, just as Van Gogh created their own. Style Transfer is a prominent feature of the Prisma AI retouching tool, and its filters will be built into Facebook and are currently being tested in multiple countries. Of course, the Caffe2Go platform is not limited to Style Transfer, and it plays a huge role in Facebook's round-robin neural network for mobile apps. Applying machine learning to intelligence is only a small step. The blueprint outlined by Facebook is for ordinary users to build their own neural networks in daily life. Style Transfer Application Based on Caffe2Go Platform Using today's cutting-edge technologies, researchers have discovered that they still need to create thousands of art types to create a better Style Transfer experience. Facebook hopes to continue to research and use face expression technology one day to achieve better interaction. In the short term, this is to add filters, and Snapchat's lifelike self-portrait mirror. However, the improvement of face tracking technology will allow users to perfectly share their mood status, and this will be more interesting through VR technology. Facebook has invented a VR expression kit that can translate human gestures into facial expressions. When you throw a punch, the VR avatar shows anger; when you spread your palm, the head shows you are confused. Facebook's aggressive acquisition of Oculus into the VR industry, its purpose is to do virtual social, so that people around the world can sit in the same room across space and time constraints to chat. Right now, the biggest obstacle to Facebook’s virtual social networking is the lack of technology on mobile VR headsets embedded in mobile phones, and the high-end headbands are bulky and require room-level location tracking. The next generation of VR head-up upgrades will require significant computer vision problems. Facebook has developed a new stable technology to produce 360-degree panoramic video, but there are still many technologies that need to be overcome. Improvements like inside-out location tracking and speech recognition technology are important for improving the VR experience. Of course, Facebook's virtual reality department is developing a VR all-in-one, combining the advantages of VR on the mobile phone and VR on the PC. “We have also done a lot of things in the field of AR. We will develop equipment for this because there is definitely a way for people to communicate with artificial intelligence on a real-time basis,†says Skolopf. Although Facebook has invested a lot of money and manpower in the AI ​​field, and this will also change its social products and services, we should clearly see that the road to explore AI is still long.
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