â€å“50 Smartest Companiesã¢â‚¬â for 2017 by Mit Technology Review Gamalon

HANGZHOU, China, July 17, 2019 /PRNewswire/ -- On June 29, the 2019 Summit of Smartest Companies of MIT Applied science Review was held in Hangzhou.At the elevation, the MIT TR l, a list of 50 smartest companies of the world selected by MIT Applied science Review was unveiled. Squirrel AI Learning, a unicorn enterprise of AI+ education of China was included in the listing. The list was honored as a "guide of emerging technology to the future world". Starting from the perspective of combining technology and commerce, MIT Engineering Review predicted the leading companies in the future. It is one of the most influential ranking lists in the global circle of science and technology.

MIT Engineering science Review is a concern media of emerging engineering science with the longest history and greatest influence in the world. Since 2010, it selects "50 smartest companies (TR50) from around the world based on multiple dimensions such as breakthrough and innovation created by companies, industries and even the world as a whole according to their technical competence and commercial sensitivity and the cadre competence of emerging technologies.

Squirrel AI Learning past Yixue Grouping ranked among MIT TR 50, a list of fifty Smartest Companies

Every bit a leading enterprise in the AI+ educational activity industry of China, Squirrel AI Learning is the start make of AI Adaptive Instruction devoted to the education of chief and secondary schools in the Asia-Pacific region as well every bit the first high-tech company of China that has developed an AI Adaptive Learning organisation for main and secondary schools with independent intellectual properties. It has been included in the MIT TR50. Other excellent enterprises that were as well selected include Huawei, Tesla, TSMC, Ali Cloud, Iflytek, Tencent and Jinri Toutiao.

In this year's TR50, we have seen the ceaseless pursuit of giants such as Huawei, TSMC and Xilinx in emerging engineering science, the prominent performance of start-ups such equally Qihan Bio-tech, Coherent AI and Xizhi Technology, and more companies that have accumulated a solid strength and foundation in their respective fields such as Ping An Insurance, Envision Group and Tesla which take bravely crossed the borders to integrate new technologies and business models. We have besides witnessed the continuous breakthroughs fabricated by AI companies such as Squirrel AI Learning and Sense Time in the by two years.

The reason offered by the MIT Technology Review for selecting Squirrel AI Learning is: Information technology has perfected pedagogy quality through the independently adult PKS model, MIBA arrangement and AI system. The PKS model can work out the primal probability values of test questions, andevaluate the dynamic mastery degree of the students in each knowledge indicate. The MIBA arrangement, by collecting eye-ball move data, facial expression data, behavior and action data, encephalon wave data, helps the cocky-adaption engine to accurately judge and form persona of students and change the teachers' didactics mode and students' learning style.

The comment fully recognized the achievements of Squirrel AI Learning in scientific researches. Particularly, the cadre algorithm engine of Squirrel AI Learning has significantly enhanced the learning efficiency of students past handling two million knowledge points, 3 million videos, ten million examination questions and 225 billion learning behaviors in the meridian period of summer holiday. Ranked tiptop amid the peers, information technology is leading the development of AI self-adaptive educational activity in China.

The elevation has invited industrial leaders, experts and scholars such as representatives from those companies that have e'er been listed in MIT TR50, the smartest companies to be listed in the newest TR50, scientists from international academic research institutions and investors from cutting-edge engineering science investment institutions of China. The event was participated in by industrial leaders, renowned scholars and journalists such every bit Mi Lei, a founding partner of Casstar, Daniel Starta, a partner of AT Kearney, Zhou Wei, the co-founder and CEO of Squirrel AI Learning, Patrick Chang, the investment director of Samsung NEXT, Chen Huiling, the Chief Content Officer of MIT Engineering Review China Region, Professor Donald Sadoway for John F. Elliott Lecture of MIT. Zhou Wei was invited to evangelize a thematic speech communication "Guessing the7th wave of didactics" and shared his innovative ideas with the guests and audiences on reforming the education sector with AI technology, which had received a strong response from the audiences.

A new entry of MIT TR50, Squirrel AI Learning: Steady accumulation of AI applied science

As a unicorn enterprise in the AI+ pedagogy industry of Mainland china, Squirrel AI Learning has made dazzling achievements in the by year. It has stood out in the evaluation of several indicators and finally been listed in the MIT TR50.

MIT TR50 emphasizes the R&D capacity of an enterprise in emerging technology. Having emphasized R&D of science and engineering and invested in the team of scientists continually, Squirrel AI Learning has won the favor of the judges. In the investment of laboratories, in 2016, Squirrel AI Learning has established a Yixue AI Lab with SRI equally the master enquiry partner. In June 2018, it co-established a joint laboratory of AI Adaptive education with the Automation Institute of Chinese Academy of Sciences. In May 2019, it co-established a joint laboratory with Carnegie Mellon Academy to develop artificial intelligence, machine learning, cognitive scientific discipline and human-car interface technology and new methods to improve the adaptive learning experience of K-12 students worldwide.

Through constantly cooperating with cutting-border scientific research teams and institutes worldwide in development and inquiry of laboratories, Squirrel AI Learning has made milestone achievements at the technical level. By applying PKS (Probabilistic Knowledge State) model, MIBA (Multi-modal Integrated Behavioral Analysis) organisation and strengthening the learning RL, Squirrel AI Learning has further enhanced the intelligence of its cocky-adaptive learning system. PKS model can piece of work out the cardinal probabilistic value of each test question and evaluate the mastery degree of each educatee in each knowledge at each moment. Just like X-low-cal scanning, it can clearly and accurately analyze the learning status of each student. MIBA system applies machine learning algorithms such as deep learning to clarify the data of students collected from multiple channels, including eyeball move information, facial expression data, behavior data and brain wave data to evaluate the comprehensive learning country of the students, accurately approximate whether the students have been attentive and full-bodied, or felt puzzled in the process of learning, helped the cocky-adaption engine to form a consummate persona of students, thereby recommending more suitable learning contents and enhancing the learning efficiency and effects. The personalized recommendation model based on deep learning for strengthening learning algorithms and real-time grooming tin provide more accurate and personalized content recommendation service to further strengthen the intelligence of its self-adaptive learning system.

This has not only further optimized the efficiency of AI Adaptive Learning system, but also enabled AI teachers to exist more familiar with the atmospheric condition of students. The application of PKS system, MIBA organization and MCM system in the robot instructor system of Squirrel AI Learning is more consistent with the substance of pedagogy. In the past, AI pedagogy was imparting knowledge points. Through efforts at the technical level, Squirrel AI Learning has been able to teach the students some learning capacity with lifelong benefits.

PKS arrangement has enhanced the accurateness of testing and significantly reduced the demands for algorithms and data, which has thus solved a great tough issue in the field of education. The quantity of data is relatively limited in the field of education and medicine. The formats of collected data vary. It's very difficult to obtain data. Squirrel AI Learning system has solved the limitation of data quantity. Through testing, it tin can depict the user's persona more clearly.

MIBA system has solved the difficulty for AI virtual teachers to communicate and dialogue with students, which has increased a multi-dimension description of the users and thus made the system develop a clearer and more comprehensive noesis of the learning state of students. If MIBA system could be promoted on a large scale in three or five years to come up, it volition enable AI teachers to surpass man teachers in such aspects every bit the range of knowledge, material library, teaching path and strategy and in judging and perceiving the overall state of students throughout their learning procedure.

The team of scientists of Squirrel AI Learning has made great contribution to the achievement of so many technical breakthroughs. The substance of science and technology lies in people. Squirrel Learning has always tried its best to maintain its own talent pool of scientists, because only an excellent scientific research team can reach further and further in technical breakthroughs.

The scientists of Squirrel AI Learning come up from unicorn AI instruction companies worldwide such equally Knewton, RealizeIt and ALEKS. Its chief scientist Dr. Cuiwei has a mail-doctoral caste of AI from National University of Ireland and used to be a cadre scientist of RealizeIt. The chief architect Richard is the technical director in accuse of the Asia-Pacific Region of Knewton, the primeval self-adaptive education company of the United states of america. The chief data scientist Dr. Dan Bindman is a co-founder of ALEKS, a giant visitor of cocky-adaption in the U.s., who is a main architect in charge of the algorithms of central products.

Particularly in 2018, Professor Tom Mitchell, the Godfather of Car Learning, Dean of Computing Schoolhouse of Carnegie Mellon University, an academician of National Academy of Engineering and National Academy of Arts and Sciences of the U.s.a., a fellow of American Association for the Advocacy of Science (AAAS) and the Association for the Advancement of Artificial Intelligence (AAAI), officially accepted the invitation of Squirrel AI Acquire to serve as its Principal AI Scientist. As the primary person in charge of the bogus intelligence field of Squirrel AI Learning, Mitchell will lead dozens of AI scientists and hundreds of AI awarding engineers and technicians of his team to carry out basic research on artificial intelligence in the field of cocky-adaptive teaching and develop related products.

In 2019, Koedinger, a professor with Computer and Psychology Section of Carnegie Mellon University (CMU), director of LearnLab Research Institute, and one of the iii giants of self-adaptive education science of America, officially served equally Chief Learning Scientist of Squirrel AI Learning.

The man-car interaction arrangement proposed by Professor Tom Mitchell is currently a globally leading algorithm scheme. The algorithm scheme is no longer cocky-training of AI model, but enables every human user to train the AI model.

Nosotros tin can expect that the above technologies will bring an overwhelming change to the education sector of China in three or 5 years to come.

In the traditional education model, too much emphasis has been placed on the teaching of teachers. Due to the lack of quality educational activity resources, the workload of teachers becomes very heavy. If AI arrangement can perfect didactics quality, the function of teachers can shift from pedagogy contents to monitoring and supervision. Teachers tin shape the character of students, accept emotional communication with the students and shape their values. The Ministry of Education of China has ever claimed that AI volition not replace the position of teachers, but those teachers who cannot apply AI volition be discarded.

Zhou Wei: Guessing of the seventh wave of didactics

As a high-tech visitor listed in the MIT TR 50 this year, the CEO of Squirrel AI Learning, Zhou Wei was invited to deliver a thematic speech "Guessing of the seventh wave of education" in the summit, who has reshaped the education sector from the perspective of industrial development. Zhou Wei believed that currently the network education development has undergone six waves, which are the Net + moving ridge, the tool wave, the O2O wave, the human one-to-1 education moving ridge, the content wave and the AI wave. The guessing of Squirrel AI Learning for the seventh moving ridge of education is unmanned classroom.

Zhou Wei gives a spoken language at MIT TR 50

Zhou Wei believed that each wave has bred new technologies and upgrade of hardware equipment. "Nosotros have a beautiful imagination of time to come education, unmanned classroom. This is an exploration of futurity teaching. We will build a learning system centered on the students completely." Zhou said, "We are going to make a precedent for the new retail of Squirrel AI Learning. Through artificial intelligence technology, nosotros volition control the costs of teachers to a low level. There volition exist no teachers, but just assistants. The operating efficiency will be improved significantly, and the education will be equal. The unmanned classrooms online and offline volition exist allocated with 30% of human administration. The education team behind it volition be full-fourth dimension senior and first-class teachers. In this fashion, quality education resources can exist spread in each classroom in the forms of bogus intelligence and Net."

Education needs to course a close loop. Squirrel AI Learning will provide an first-class education scenario for the students and so that their learning can be more effective. This instruction style is called by Squirrel AI Learning as gratis of disturbance under supervision. Zhou likewise said, new retail is allocated co-ordinate to needs. Education will be allocated according to the learning progress of students. Nosotros will build a new learning relationship based on artificial intelligence. Previous learning relationships established a teaching organisation centered on teachers. Later on the introduction of artificial intelligence, we can build a learning organisation centered on students completely.

Now Squirrel AI Learning has nigh 2,000 learning centers nationwide, which covers more than 400 cities.

Finally Zhou said, "Hopefully through AI technology, we can provide every child with a super AI teacher combining Confucius, da Vinci and Einstein. It will thoroughly solve the ratio between students and teachers. In the traditional teaching, one teacher has to teach 100 students. The learning effect depends on the matching degree between the 100 students and the adequacy value of the teacher. In the future, we will reshape this instruction relationship based on AI so that 100 teachers volition serve one educatee only in our learning organization."

View original content to download multimedia:http://www.prnewswire.com/news-releases/squirrel-ai-learning-by-yixue-grouping-ranked-among-mit-tr-50-a-list-of-50-smartest-companies-300886313.html

hannaindect.blogspot.com

Source: https://en.prnasia.com/releases/global/squirrel-ai-learning-by-yixue-group-ranked-among-mit-tr-50-a-list-of-50-smartest-companies-252145.shtml

Share this post