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Dr. Wei Cui, Senior Scientist at Squirrel AI Learning, delivered a magnificent speech at the conference.
Yixue Squirrel AI Learning
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Wei Cui and Andreas Hotho, Professor of Data Science at the University of Würzburg in Germany (President of the ECML-PKDD 2019)
Yixue Squirrel AI Learning
DUBLIN, Ireland, 29 November 2018 (GLOBE NEWSWIRE) – From 10 to 14 September, the European Conference on Machine Learning, Principles and Practice of Knowledge Discovery 2018 (ECML-PKDD) is held successfully at the Croke Park Conference Center in Dublin, Ireland. More than 600 renowned professors and academics from universities around the world, as well as entrepreneurs and computer experts, have had in-depth discussions and exchanges on computer science, technology and technology. 39, machine learning, data mining, knowledge extraction, etc. topics and shared the latest research findings. Dr. Wei Cui, Senior Scientist at Squirrel AI Learning, attended the invitation conference. He delivered an insightful speech and shared the stage with many renowned professors and academics, such as Naftali Tishby, physicist / neurologist and professor of computer science at the Hebrew University of Jerusalem, Corinna Cortes, a Danish computer scientist and the head of the department. from Google Research in New York and Martin Wistuba, data specialist at IBM. Dr. Wei Cui presented the technological advantages of the Squirrel AI intelligent adaptive system and achievements in technology application. He also shared the development and application of artificial intelligence in education and how … it has become the area of choice for researchers and companies around the world.
It is widely accepted that the ECML-PKDD is a leading conference on machine learning and data mining in Europe. It has been successfully organized in various places in Europe for more than 16 consecutive years. The conference themes include mainly machine learning, artificial intelligence, data mining and their applications, covering the social, economic and other important fields today. It is an international event with considerable influence on the global science and technology sector.
Dr. Wei Cui, Senior Scientist at Squirrel AI Learning, gave an outstanding keynote address at the conference. According to Dr. Wei Cui, the Squirrel AI Smart Adaptive System is an AI-powered "full-cycle" product launched by Yixue Education, which complements the fundamental process of teaching and learning under the direction of the system. It applies the intelligent evaluation algorithm, the model of diagnosis of abilities and representation of the status of the student, as well as the algorithm of recommendation applied to the planning of the course of action. learning and content of learning. In addition, Dr. Wei Cui revealed that Yixue was developing algorithms for learning mode selection and early intervention using in-depth learning. The key is to collect and analyze the learning data to enable the AI to use the "nanoscale" knowledge graph to assess the degree of mastery of students' knowledge in the best deadlines. As a result, he creates dynamic and personalized student portraits by constantly measuring the state of the student's knowledge, in order to understand the status and problems of each student, to design test and learning pathways accordingly. and adjust teaching behaviors. At the same time, it continuously recommends the most appropriate learning materials in the learning process, measures the effects of learning, establishes self-learning models and provides feedback on the prediction of learning. IA and the effects of the content.
Dr. Wei Cui presented three modeling elements of Squirrel AI, which are respectively: (1) user portraits for students, that is, the mastery of each student's personal preferences and interests; learning style, cognitive characteristics, level of ability and state of knowledge; (2) the modeling of learning content and the creation of "nano-scale" knowledge graphs, that is to say presenting different forms of learning resources in the form of videos, texts, audios, images and exercises, establish an algorithm to label the knowledge points and exercises, and give the corresponding information; difficulty coefficients, etc .; (3) personalized matching, that is, the adequacy of the most appropriate learning paths and courses and the recommendation of personalized learning content for each student based on the data generated during the course. first two steps to maximize the effectiveness of learning.
At present, in addition to the nano-scale knowledge point decomposition chain, the correlation matrix, and the knowledge graph, Squirrel AI also recommends custom learning pathways. , all of which are at world-leading levels. Of course, this does not mean that robots teach students as teachers. Just as Alpha Go judges the situation of a game of chess by memorizing the chess manual + machine learning, Squirrel AI accurately identifies each student's existing knowledge with the help of the graph of knowledge and information theory. In the past, there was no clear user portrait for each student. We could only know if a student was a 50-point student or a 95-point student, but we could not tell the student's actual mastery of knowledge based on his knowledge graph. Now, algorithms and techniques can solve this problem. Through the deduction of strategic logic, the Squirrel AI Intelligent Adaptive System provides students with a variety of instructional videos and solutions for different exercises, including videos, animations, recordings, lecture notes and various exercises.
It is to teach students according to their abilities, which we constantly insist on in the field of education. At present, there is still no way to teach students according to their abilities in the classroom. All students listen to the teacher at a fixed pace, whether it is a student of 50 points or a student of 95 points. Such uniform education is like new Tencent and Sina news in the past. If we want to distribute different content to different users, as Toutiao does, we need automatic learning and genetic algorithms, in order to allow the system to grow consistently and more and more accurately. exercises and contents corresponding to the weak points of each student, to obtain the most effective learning effects. .
Finally, Dr. Wei Cui mentioned a recent human-machine teaching competition organized by Squirrel AI Learning in 100 cities in China. The Squirrel AI Intelligent Adaptive System competes equitably with experienced public school teachers. The results showed that the adaptive learning system of AI is superior to human teachers in terms of teaching quality and effects. In addition, Yixue Education has set up a joint laboratory for AI adaptive learning with the Stanford Research Institute (SRI) and a joint laboratory for intelligent adaptation of parallel AI with CAS, to explore jointly the continuous technological innovation capability of the AI era in the future.
The ultimate dream of Squirrel AI Learning is to allow each child to have an AI teacher as a combination of Socrates + Da Vinci + Einstein, to teach it. In the future, no school district office will be needed in the world. Great mentors will be available not only for the princes. We can use an AI system to provide an extremely intelligent teacher to any child, to enable him to reveal his potential and achieve true equality in education.
A photo accompanying this announcement is available at http://www.globenewswire.com/NewsRoom/AttachmentNg/5ab96f71-4202-40aa-b7fb-683890ed7d60
After the conference, Dr. Wei Cui had further exchanges and discussions with renowned experts and professors in data mining and computer science, such as Prof. Dr. Andreas Hotho, professor of data science at the University of Wuerzburg in Germany and chairman of the DMIR group. Neil Hurley, professor of computer science at University College Dublin in Ireland.
A photo accompanying this announcement is available at http://www.globenewswire.com/NewsRoom/AttachmentNg/89c7fbab-ee61-496d-82c0-3f41321d93b5
Professor Andreas Hotho, as President of the ECML-PKDD 2019, is a key figure in the science and data mining in Europe. He is currently engaged in research in the field of mathematical mining exploration, semantic web mining, social media analysis and in other fields. In the meantime, he is responsible for the DMIR group and leads the BibSonomy project. The project involves the research center L3S of the University of Hannover, the KDE group and the DMIR group of Kassell University. He was principal investigator at Kassel University and researcher AIFB at the University of Karlsruhe successively. As President of the ECML-PKDD 2018, Professor Neil Hurley is an excellent researcher in computer science and mathematical sciences. He has been a lecturer at University College Dublin for almost 20 years. At the same time, he is a researcher at Hitachi Lab Dublin, responsible for laboratory management.
After understanding the advanced algorithmic models and practical effects of Squirrel AI's intelligent adaptive technology on practical applications, they appreciated Squirrel AI's achievements in research and development, the application of AI in Education and its resolute action to bring fair, effective and personalized education to every Chinese child. They hoped that Squirrel AI Learning would become a pioneer and a world leader in AI technology in the education sector.
About learning squirrel
Currently, Squirrel AI Learning already has more than one million users. Then, it will develop an OpenAI platform, so that all institutions and all individuals no longer need to develop their own intelligent adaptive systems. In addition, Squirrel AI Learning will provide free 1 million learning accounts for children from poor families.
To learn more about Squirrel AI Learning, visit http://www.squirrelai.us/.
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