The wave of artificial intelligence has swept through, which has brought many China technology startups dedicated to this field the best development opportunity.
Shanghai Yitu Network Technology Co., Ltd. (hereinafter referred to as "Yitu") recently announced that Yitu Technology has completed the financing of $1 million from Xingye Guoxin Asset Management. Before Xingye Guoxin invested in asset management, Yitu also received a $2 million C+round of financing in June, with investors including Gaocheng Capital, ICBC International and Puyin International.
Yitu was founded in 212 by Leo Zhu, Ph.D. in Statistics from UCLA, postdoctoral researcher in the Artificial Intelligence Laboratory of Massachusetts Institute of Technology, and Lin Chenxi, former technical director of Alibaba Cloud. According to the figure, the artificial intelligence company with the most comprehensive technical layout at present includes computer vision, natural language understanding, speech recognition and artificial intelligence chips.
in may, 217, according to the figure, we got a series C financing of 38 million yuan led by Gao Lin Capital and followed by Yunfeng Fund, Sequoia Capital, Gaorong Capital and Zhenge Fund. Among them, Zhenge Fund also participated in the angel round financing of millions of yuan according to the figure in 213.
within p>35 days, financing of billions of dollars has been completed one after another. What is the ability of this benchmark enterprise of artificial intelligence rooted in Shanghai? As a technology company, why did you choose Shanghai as the base of your own business, and what kind of help did Shanghai bring to artificial intelligence business?
for yitu, the recent good news is more than the smooth financing. In June this year, in the latest test results of face recognition algorithm, Yitu won the face recognition championship, which is the second time that the company won the face recognition championship in NIST competition. In the test results officially released by NIST in June, 217, according to the figure, the recognition accuracy rate reached 95.5% under one ten million false positives, which was the best level of global industry under this indicator at that time.
the national institute of standards and technology (NIST) is directly under the U.S. department of commerce, and its main tasks are to establish national measurement benchmarks and standards, provide testing technology for American industry and national defense, and participate in the standardization technical committee to formulate standards.
the face recognition algorithm test under the guidance of p>NIST, the data are all from real business scenarios, which means that the test results represent the performance of the technology in actual combat scenarios; The data scale is achieved by sampling tens of billions of samples, reaching the order of millions. Because of its rigor, consistency and comprehensiveness, this test has become the largest, strictest, most competitive and authoritative face recognition algorithm competition in the world.
According to the official report, this year, according to the map, this indicator has been raised to a level close to the limit, that is, the recognition accuracy rate is close to 99% under the condition of one million false positives. It is also worth noting that the algorithm that won the championship last year according to the figure still ranks in the top ten of the test results in June this year after a lapse of one year.
source: Fenghuang. com