MagniLEARN, an Ed-Tech company using artificial intelligence and Natural Language Processing, received second prize for innovation in Artificial Intelligence and was recognized as a promising AI Startup in the third annual China – Israel Innoweek Conference held in Beijing, China. "Combining Natural Language Processing (NLP) with Artificial Intelligence (AI) allowed us to turn the computer into a language-aware personal tutor for each student," said MagniLEARN CEO Howard Cooper in accepting the award. "Our difference lies in presenting personalized exercises that the student answers with free-form responses. Just like a personal tutor teaching language to a child, we understand what is correct, what is nearly correct, and provide feedback and then reinforcement as the student learns proper English. We gave the computer enough language awareness to become an intelligent and efficient language tutor for each student," he concluded.
A new national research institution has been launched by China that will be focusing on providing education to the country's children regarding artificial intelligence from an early age, as well as, introduce more applications of artificial intelligence into the academic arena, as reported by the Beijing News. Artificial Intelligence Education Research Institute of the China Children's is a joint venture of the top schools such as Peking University and China National Children's Center, which is a non-profit organization under the cabinet of the country i.e. the Ministry of Education. The target of the institute is to research the ways by which artificial intelligence will be changing the ways kids are taught, as well as, for sparking an interest in artificial intelligence which would be preparing them well for a future that will be saturated with technology. The ambitious plans of China are to become the superpower of artificial intelligence across the globe, however, it was shown in a research that it still lags behind those nations that are developed in terms of artificial intelligence talent. With the target of expanding the domestic artificial intelligence sector, two years ago announcement was made by Chinese authorities regarding a plan for getting the education institutions to advance the talent pool of the artificial intelligence by giving encouragement to the kids in learning techniques like enhancing the present system of education, and by coding intelligent education which involves using artificial intelligence to teach, as well as, implement technologies such as facial recognition in the lecture hall.
Beijing: China's telecommunications giant Huawei on Tuesday thanked the Indian government for permitting it to participate in the upcoming trials for 5G networks, a major boost to the company amidst a US clampdown on it citing national security risks. The 5G is the next generation cellular technology with download speeds stated to be 10 to 100 times faster than current 4G networks. The 5G networking standard is seen as critical because it can support the next generation of mobile devices in addition to new applications like driverless cars and gadgets made out of artificial intelligence (AI). Huawei rivals western equipment makers, such as Ericsson, and is banned in the US. India on Monday indicated its unwillingness to keep any company out of the 5G trials.
Get ready for the first complete synthetic human brain, moon mining, and much more. Maybe robotic moon bases, chips implanted in our brains, self-driving cars and high-speed rail linking London to Beijing. According to a dazzling number of technology predictions that single out the year 2020, it's going to be to be one heck of a year. Here, we take a look at some of the wonders it has in store. "It's not any more particularly interesting, in my opinion, than 2019 or 2021," says Mike Liebhold, a Distinguished Fellow at the Institute for the Future, and an all-around technology expert with a resume that includes stints with Intel, Apple, and even Netscape.
Bayesian T ensor Network and Optimization Algorithm for Probabilistic Machine Learning Shi-Ju Ran 1, 1 Department of Physics, Capital Normal University, Beijing 100048, China (Dated: January 1, 2020) Describing or calculating the conditional probabilities of multiple events is exponentially expensive. In this work, a natural generalization of Bayesian belief network is proposed by incorporating with tensor network, which is dubbed as Bayesian tensor network (BTN), to efficiently describe the conditional probabilities among multiple sets of events. The complexity of BTN that gives the conditional probabilities of M sets of events scales only polynomially with M . To testify its validity, BTN is implemented to capture the conditional probabilities between images and their classifications, where each feature is mapped to a probability distribution of a set of mutually exclusive events. A rotation optimization method is suggested to update BTN, which avoids gradient vanishing problem and exhibits high efficiency. With a simple tree network structures, BTN exhibits competitive performances on fashion-MNIST dataset. Analogous to the tensor network simulations of quantum systems, the validity of BTN implies an "area law" of fluctuations in image recognition problems. I. INTRODUCTION Tensor network (TN) is a powerful mathematic model that was originally developed in the field of quantum many-body physics [1-4]. With the striking resemblances to neural network (NN), TN has recently been applied to machine learning [5-10].
Courts in China are increasingly relying on blockchain technology and artificial intelligence to resolve legal issues through "smart internet courts," where witnesses communicate with virtual, AI-enabled judges. According to a Cointelegraph report, Xinhua state news agency revealed that over 3.1 million cases in the country were settled using the technologies in smart internet courts from March to October 2019. Xinhua reported that the smart courts are made up of virtual judges enabled by AI technology that can communicate with citizens through multiple screens. The first-ever smart court in China was introduced in 2017 in Hangzhou city, before the Chinese government expanded these courts to Beijing and Guangzhou. Zhang Wen, President of the Beijing Internet Court, has stated that these new courts have adopted both AI and blockchain technology to resolve legal issues.
QINGDAO, China/BEIJING (Reuters) - China should introduce a regulatory framework for artificial intelligence in the finance industry, and enhance technology used by regulators to strengthen industry-wide supervision, policy advisers at a leading think tank said on Sunday. "We should not deify artificial intelligence as it could go wrong just like any other technology," said the former chief of China's securities regulator, Xiao Gang, who is now a senior researcher at the China Finance 40 Forum. "The point is how we make sure it is safe for use and include it with proper supervision," Xiao told a forum in Qingdao on China's east coast. Technology to regulate intelligent finance - referring to banking, securities and other financial products that employ technology such as facial recognition and big-data analysis to improve sales and investment returns - has largely lagged development, showed a report from the China Finance 40 Forum. Evaluation of emerging technologies and industry-wide contingency plans should be fully considered, while authorities should draft laws and regulations on privacy protection and data security, the report showed.
Recent technological advances demonstrated by China have started an intense debate on whether it is set to take a lead in the field of artificial intelligence, or AI, which has extensive business and military applications.U.S. concerns about China's AI advances have also influenced, in part, the ongoing trade negotiations between Washington and Beijing.
BEIJING – One of China's biggest animal feed producers said it had used a radio transmitter to combat crooks using drones to drop pork products contaminated with African swine fever on its pig farms, as part of a racket to profit from the health scare. In July, China's agriculture ministry said criminal gangs were faking outbreaks of swine fever on farms and forcing farmers to sell their healthy pigs at sharply lower prices. And Thursday, a state-backed news website, The Paper, reported that a pig farming unit of Beijing Dabeinong Technology Group Co. Ltd. had run foul of the regional aviation authority, as its transmitter had disrupted the GPS signal in the area. Answering questions from investors on an interactive platform run by the Shenzhen Stock Exchange, Dabeinong confirmed Friday that its pig farming unit in Heilongjiang province had unwittingly violated civil aviation rules. "Our unit in Heilongjiang province … to prevent external people from using drones to drop pork with African swine fever virus, violated regulations by using a drone control equipment set," the company said.