Introduction: AiChinaTech January 17th news, after many months of HPAIC (Human Protein Atlas Image Classification) Human Protein Atlas Classification Challenge results announced, from the polar chain AI Institute and Engineering Institute from the world 2236 The team stood out and won the gold medal.
AiChinaTech January 17th news, after many months of HPAIC (Human Protein Atlas Image Classification) Human Protein Atlas Classification Challenge results announced, from the polar chain AI Institute and Engineering Institute from the world 2236 The participating teams stood out and won the gold medal.
The HPAIC Global Atlas Classification Challenge was initiated by HPA (The Human Protein Atlas) and Google's Kaggle platform. As the "European Core Resource" selected by ELIXIR, HPA has long been committed to using the most advanced Combinatorial technology integrates all human proteins in cells, tissues and organs. The database is used by more than 200,000 users per month. Nearly 10 publications use Protein Atlas data every day. The image data in this challenge comes from HPA Cell. Atlas.
HPA Cell Atlas provides high-resolution insights into the spatial distribution of intracellular proteins and currently covers 12,224 genes (62%) of available antibodies to explore protein details. Based on data provided by HPA Cell Atlas, HPA and Kaggle conducted this online machine learning competition, the HPAIC (Human Protein Atlas Image Classification) Human Protein Atlas Classification Challenge. The entrants proposed a visualization scheme of machine learning human protein maps in cells to achieve accurate classification under the microscope, and finally obtained the best classification algorithm for protein expression in human cell maps. The contest was opened in October 2018 for a period of 90 days, attracting 2,809 teams from around the world with a total of 2,809 from the world.The AI contestants from all over the world finally won the gold medal with a high score.
This glory-extraordinary AI Institute and Engineering Institute, as a professional AI organization specializing in video AI business application enterprise, is currently the chief scientist of Professor Fu Yugang of the School of Computer Science and Technology of Fudan University. Leading the frontier research work, the founding team members are composed of experts and doctors from world famous universities such as Chinese Academy of Sciences, Fudan University, Queen's University of Canada, etc. Since its establishment, they have been deeply involved in the research and development of related technologies in the field of computer vision. The main research directions include: video content recognition, Video classification, video editing and abstracting, video retrieval, automatic video generation, video sentiment analysis, video style migration, compression and acceleration of deep neural networks, etc., are dedicated to the research and development of video AI technology and cutting-edge exploration.
Extreme Chain Technology is a smart technology company that uses video AI technology as the core to analyze the video in the whole network of 4.15 million APP, and then drives the new economic development of the scene. The nuclear technology is VideoAI video intelligent system. VideoOS video program system, support business matrix including AI scene marketing platform, video e-commerce, video entertainment. The company has established in-depth cooperation with hundreds of brands, merchants and supply chains, and built a complete video scene industry closed loop with the whole network APP. It has realized mass commercialization in AI+ video industry; after several rounds of financing, with rapid development of technology, Polar Chain Technology currently It has grown into a commercial platform for video AI scenarios with leading technology, massive users and comprehensive revenue capabilities.
It is reported that the winner of the HPAIC (Human Protein Atlas Image Classification) Human Protein Atlas Classification Challenge will be invited by Nature Methods to write a paper as a good team after the game to summarize the research and development in the competition. Algorithms and techniques.This article was written by the author of the cutting-edge technology. The views represent only the author and do not represent the OFweek position. If you have any infringement or other problems, please contact us.