男女羞羞视频在线观看,国产精品黄色免费,麻豆91在线视频,美女被羞羞免费软件下载,国产的一级片,亚洲熟色妇,天天操夜夜摸,一区二区三区在线电影
Global EditionASIA 中文雙語Fran?ais
Business
Home / Business / Technology

Outbreak puts AI firms to test

By SHI JING in Shanghai and MA SI in Beijing | chinadaily.com.cn | Updated: 2020-03-24 08:58
Share
Share - WeChat
[Photo/China Daily]

Chinese companies offer novel solutions to combat the virus

The COVID-19 outbreak has become a test of sorts for many Chinese artificial intelligence companies that were required to come up with quick solutions and prove the adaptability of their technologies on various occasions.

Zhao Yong, general manager of Beijing-based AI solutions provider Deep Glint Information Technology Co, received an emergency call from the Beijing Municipal Science &Technology Commission a day after Lunar New Year, asking for a ready-to-use fever screening system.

A team of 30 specialists was soon formed within Deep Glint. However, the delivery of necessary hardware was a problem because of the holiday combined with the outbreak. But the municipal government helped to deploy resources from other provinces, and even neighboring factories extended help in the production.

By Feb 15, a total of 150 fever screening devices were produced, each of which could be installed within one minute, said Zhao.

The infrared thermometers developed by the company were widely used in all the subway stations in China, with the exception of Mudanyuan station (line 10), to prevent the spread of novel coronavirus.

The AI-based system, which was put into operation at Mudanyuan station on Feb 4, made all the difference. Developed by Beijing-based Megvii, it supports non-contact temperature screening from a distance of 3 meters.

Fever alerts

It has an error margin of a mere 0.3 C, and it takes into account the influence of hats and face masks, said Liu Ruiwei, senior product manager at Megvii.

It can send fever alerts for up to 15 people per second.

Even at the subway stations with higher traffic, only one rail employee is required to work on-site, further reducing the risk of infection, he said.

"We had built a team of about 100 people before Lunar New Year to develop the system. With the help of AI technology, we can track the whereabouts of people with fever as well as their close contacts," said Liu.

According to the administrative committee of Zhongguancun Science Park located in Beijing, companies registered in the park have so far come up with 138 technologies and products for prevention and control of the epidemic, covering virus detection, research and development of vaccine, clinical treatment, medical protection, intelligent diagnosis and epidemic analysis.

On Feb 4, the Ministry of Industry and Information Technology suggested in a public note that AI companies should work together to come up with solutions to discover, prevent and control COVID-19.

More application scenarios should be explored and products that help in the diagnosis and rapid testing should enter mass production, it said.

The AI algorithms should be further optimized to help in the research of gene sequencing of the virus and the development of vaccines and drugs, said the ministry.

According to Beijing-based market research firm EO Intelligence, medical imaging is the sector where AI technology has been used the most. It said there were 126 active medical AI providers in the Chinese market by July 2019, with 57 specializing in medical imaging.

Shanghai-based Yitu Technology Co, which was established in 2012, started to study AI-based medical imaging system in 2016.

Since Jan 28, its intelligent medical imaging evaluation system has been operating at the Shanghai Public Health Clinical Center to help in the diagnosis of pneumonia caused by the novel coronavirus.

Faster medical decisions

The evaluation system allows doctors to make faster and more accurate medical decisions.

Shi Yuxin, deputy head of the Shanghai Public Health Clinical Center, said that CT imaging is critical in the diagnosis and treatment of COVID-19.

The recently introduced AI system can classify the pneumonia caused by the virus according to its severity, precisely calculate the burden on the lungs and provide 4D dynamic pathology comparisons.

Traditional quantitative analysis performed by humans would usually require up to six hours. The new AI system can perform the same task in just three seconds or even less.

The clinical center has used the system to diagnose more than 70 cases of pneumonia caused by novel coronavirus. The results have been highly reliable and similar to those produced by doctors.

The system has also been installed in hospitals where the contagion is relatively more serious, including the Union Hospital affiliated to the Tongji Medical College of University of Science and Technology, Renmin Hospital of Wuhan University, Zhongnan Hospital of Wuhan University and the First Affiliated Hospital of Wenzhou Medical University.

Yitu Technology Co said it was willing to provide free installations and upgrades for its imaging products at the hospitals designated to treat COVID-19 patients.

Fang Cong, vice-president of Yitu's medical business, said the applications in clinical environment are essential for the development of AI technology.

Lu Yanxia, assistant research director with global market consultancy IDC, said the application of a large number of AI technologies is at a very preliminary stage given their performance during the latest epidemic. The defect is especially noticeable in facial recognition and AI customer service providers based on dialogues.

"If we categorize the development of AI into five levels, we can say that Chinese AI industry is only at level two. It will be quite difficult for the industry to level up within a short period," she added.

Top
BACK TO THE TOP
English
Copyright 1995 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
License for publishing multimedia online 0108263

Registration Number: 130349
FOLLOW US
CLOSE
 
主站蜘蛛池模板: 佛坪县| 南昌市| 平罗县| 上杭县| 嵊州市| 垫江县| 新兴县| 赤水市| 腾冲县| 灵武市| 兰考县| 漳州市| 麻栗坡县| 邵阳市| 巴南区| 玉门市| 万源市| 通河县| 四平市| 都安| 兴义市| 天水市| 右玉县| 会东县| 杂多县| 静乐县| 合作市| 克拉玛依市| 昌黎县| 翁源县| 修武县| 襄樊市| 文登市| 崇明县| 老河口市| 尼木县| 龙泉市| 桦南县| 麟游县| 洪江市| 宣武区| 郧西县| 哈巴河县| 泸水县| 濮阳县| 阳东县| 安陆市| 舒城县| 乌鲁木齐市| 荆州市| 邵阳市| 祁门县| 苏尼特右旗| 江都市| 天气| 四川省| 女性| 庆元县| 吴江市| 富蕴县| 湘潭县| 宁乡县| 安徽省| 南昌市| 新乐市| 柘荣县| 台南县| 蒲江县| 荥阳市| 偃师市| 和田市| 鞍山市| 建宁县| 中西区| 晋中市| 钟山县| 兴山县| 台中县| 平安县| 博野县| 昂仁县| 平定县|