According to state news outlet China News Service, a court in Shenzhen, China, has ruled that an artificial intelligence (AI) generated article is protected by copyright, representing a notable milestone for AI's credentials as a creative force. Chinese tech giant Tencent has published content produced by automated software called Dreamwriter for the past five years, with an emphasis on business and financial stories. An online platform run by a company called Shanghai Yingxun Technology Company reproduced Tencent's AI-generated financial report on its own website in 2018. The article contained a disclaimer stating that it was "automatically written by Tencent Robot Dreamwriter;" however, the court found that the articulation and composition of the article had a "certain originality" and fulfilled the legal requirements to be recognized as a written work -- thereby applying for copyright. While the defendant had already deleted the report from its own website, a fine of 1,500 yuan ($217) was still payable.
BEIJING/SHANGHAI – Chinese regulators have announced new rules governing video and audio content online, including a ban on the publishing and distribution of "fake news" created with technologies such as artificial intelligence and virtual reality. Any use of AI or virtual reality also needs to be clearly marked in a prominent manner and failure to follow the rules could be considered a criminal offense, the Cyberspace Administration of China (CAC) said on its website. The rules, effective Jan. 1, were published publicly on its website on Friday after being issued to online video and audio service providers last week. In particular, the CAC highlighted potential problems caused by deepfake technology, which uses AI to create hyper-realistic videos where a person appears to say or do something they did not. Deepfake technology could "endanger national security, disrupt social stability, disrupt social order and infringe upon the legitimate rights and interests of others," according to a transcript of a press briefing published on the CAC's website.
Although mobile devices were not designed to run compute-heavy AI models, in recent years AI-powered features like face detection, eye tracking, and voice recognition have all been added to smartphones. Much of the compute for such services is done on the cloud, but ideally these applications would be light enough to run directly on devices without an Internet connection. In this spirit of "smaller is better," Shanghai-based developer "Linzai" (GitHub user name @Linzaer) recently shared a new lightweight model that enables real-time face detection for smartphones. The project has garnered a whopping 3.3k Stars and over 600 forks on GitHub. Facial recognition technology is widely applied in security monitoring, surveillance, human-computer interaction, entertainment, etc. Detecting human faces in digital images is the first step in facial recognition, and an ideal face detection model can be evaluated by how quickly and accurately it performs.
China is already home to extensive facial recognition technology, using it to identify criminals, monitor students' attention, and even let citizens purchase train tickets. Now, in an attempt to enrich its surveillance arsenal, reseachers from the country have developed a 500 megapixel facial recognition camera capable of capturing "thousands of faces at a stadium in perfect detail and generate their facial data for the cloud while locating a particular target in an instant." The AI-based cloud camera service was developed in collaboration between Shanghai-based Fudan University and Changchun Institute of Optics, Fine Mechanics and Physics of Chinese Academy of Sciences in Changchun, according to Global Times. The "super camera" is also said to have the ability to shoot panoramic photos with a clear image of every single human face, something that can be put to use in extremely crowded public spots. The facial recognition system has been designed keeping national defense, military and public security in mind, the report said, adding it could "serve as a watchdog at military bases, satellite launch bases and national borders to prevent suspicious people and objects from entering or exiting."
Inspur has announced the open-source release of TF2, an FPGA-based efficient AI computing framework. The inference engine of this framework employs the world's first DNN shift computing technology, combined with a number of the latest optimization techniques, to achieve FPGA-based high-performance low-latency deployment of universal deep learning models. This is also the world's first open-sourced FPGA-based AI framework that contains comprehensive solutions ranging from model pruning, compression, quantization, and a general DNN inference computing architecture based on FPGA. The open source project can be found at https://github.com/TF2-Engine/TF2. Many companies and research institutions, such as Kuaishou, Shanghai University, and MGI, are said to have joined the TF2 open source community, which will jointly promote open-source cooperation and the development of AI technology based on customizable FPGAs, reducing the barriers to high-performance AI computing technology, and shortening development cycles for AI users and developers.
SHANGHAI, China, Sept. 16, 2019 (GLOBE NEWSWIRE) -- On August 29th, with the theme of "Intelligent Connectivity, Infinite Possibilities", the 2019 World Artificial Intelligence Conference (WAIC), co-sponsored by the National Development and Reform Commission, the Ministry of Science and Technology, the Ministry of Industry and Information Technology, National Internet Information Office, Chinese Academy of Sciences, Chinese Academy of Engineering and Shanghai Municipal People's Government, was solemnly held in Shanghai. More than 500 top universities, international organizations and the world's most influential scientists, entrepreneurs and investors in the field of artificial intelligence gathered in Shanghai. Turing Award winners Raj Reddy and Manuel Blum, former Dean of the School of Computer Science at CMU & Chief AI Scientist of Squirrel AI Learning Tom Mitchell, Nobel Prize winner George Smoot, "Father of Machine Learning", Finn E. Kydland, Swiss AI Lab IDSIA Scientific Director Jürgen Schmidhuber Co-founder and CEO of Tesla Elon Musk, Chairman of the Board of Directors and CEO of Tencent Pony (Huateng) Ma, Co-chairman of the United Nations High-level Group on Digital Cooperation Jack Ma etc., delivered brilliant speeches and conversations respectively. In the top-leader conversation session, Elon Musk, Co-founder and CEO of Tesla, conducted an in-depth conversation with Jack Ma, Co-chairman of the United Nations High-level Group on Digital Cooperation. When it comes to education, Musk said, "The lecture is the worst because it's too slow. It's hard to make fewer mistakes for us in predicting the future, but you have to try first, and then to adjust it according to the errors you have predicted before."
The system helps significantly reduce the time consumed in post-production. In addition, based on an AI-powered celebrity database of more than 2 million characters, iQIYI has also established an intelligent index which helps improve the production efficiency and quality of large-scale variety shows. This technology has become an industrial standard that is widely adopted to produce new-gen variety shows. Aside from professional content production, iQIYI also uses AI technology to assist UGC content creators with their productions by offering them massive creative content libraries and supplementary creative functions through an intelligent recreation system. Held under the theme of "Artificial Intelligence-New Momentum for High Quality Development", this year's WAIC aims at building the world's top AI cooperation and exchange platform, as well as showing that AI is leading the transformation of the modern life in Shanghai.