With the growing scare of the deadly coronavirus, companies in China are pushing hard to limit its spread. In one such effort, the country's leading search engine Baidu has open-sourced an AI model to detect people not wearing face masks. As coronavirus can spread through close contact with an infected person via their coughs, sneezes, or respiratory droplets, China has made it mandatory to wear face masks in several regions. People are instructed to wear masks in public places such as restaurants, shopping malls, and public transport. It's quite hard for authorities to catch people not wearing masks in large crowds.
The Cabinet on Tuesday approved a bill to support companies to develop secure 5G mobile networks and drone technologies amid growing alarm among Tokyo policy-makers over the increasing influence of China's 5G technology. The bill will give companies which develop such technologies access to low-interest rate loans from government-affiliated financial institutions if their plans fulfill standards on cyber security. Companies that adopt 5G technologies can also get tax incentives if they meet standards set by the government, according to the bill. The government will submit the bill to the parliament and aims to bring it to effect around summer. The United States has been waging a campaign against Huawei Technologies Co, which Washington has warned could spy on customers for Beijing.
According to the Polish Economics Institute (PIE), the first coronavirus warnings were issued on December 31 by a Canada-based health monitoring startup. The Canadian company, BlueDot, even correctly predicted the cities outside of China coronavirus would next appear: Tokyo, Seoul, Taipei and Bangkok. PIE said: "Algorithms using artificial intelligence solutions identified the onset of the coronavirus epidemic a few days earlier than reported in the official information from international organisations such as the WHO or the CDC." BlueDot's AI predicted the spread of coronavirus by analysing airline data, international news stories and reports of coronavirus animal infections.
BEIJING: A man who had travelled to Wuhan -- the central city at the heart of China's coronavirus crisis -- was surprised when police showed up at his door after he returned home, asking to check his temperature. The man, who had quarantined himself at home in Nanjing, eastern Jiangsu province, said he had not told anyone about his recent trip to the city. But by trawling through travel data from Wuhan, local authorities were able to identify him and dispatch officers to his home last week, according to a newspaper article posted by the Nanjing government. As Chinese authorities race to contain the spread of a new virus, which has infected more than 34,000 people and killed more than 700 in China, Beijing is turning to a familiar set of tools to find and prevent potential infections: data tracking and artificial intelligence. Several Chinese tech firms have developed apps to help people check if they have taken the same flight or train as confirmed virus patients, scraping data from lists published by state media.
If the great Charlie Chaplin were alive today he might well marvel at the artificial intelligence enabled colour versions of his comedy masterpieces such as Modern Times or The Idle Class. A recent research paper from Hong Kong University of Science and Technology presents a fully automatic method for colourizing black-and-white films without any human guidance or references. Film/video colourization is not a new technology. A small number of early 20th century films, such as A Trip to the Moon (1902) and The Kingdom of the Fairies (1903) were painstakingly hand-coloured, frame-by-frame, by humans. Computerized colourization was invented in the 1970s and has been widely used and steadily improved ever since.
China's Communist Government has extracted over 6 billion peoples biometrics, including facial, voice and personal health data to empower their Quantum Artificial Intelligence program meant for military purposes. This includes almost every American, Canadian, and European persons living today, every person in China, and Less so from groups in Africa, the Middle East, and South America. I initially made the finding public by publishing the discovery in the book AI, Trump, China and the Weaponization of Robotics without providing company names. Later, I included the findings with company names in the updated book Artificial Intelligence Dangers to Humanity. More than 1,000 AI, Robotics and Bio-Metric companies were researched to obtain the results of over 6 billion human beings who have had their bio-metrics stolen or transferred to China.
Acoustically engineered to produce exceptional frequency response for an enhanced listening experience. Sweat proof, portable and lightweight headset can stay in your ears comfortably. Allowing you to control the volume, answer or end calls, control the playback of music and video with click of button and without taking your phone out.
AI-based efforts like this could help to conserve drug researchers' time and resources, says Mike Tarselli, scientific director of the Society for Laboratory Automation and Screening. "The use of AI to augment human capacity, to address a pressing public health concern using existing data without re-deploying a full team, should be a boon to researchers." The BenevolentAI report is "more a testimony to good literature searching and curation" than "a triumph of artificial intelligence," according to veteran drug-discovery researcher and blogger Derek Lowe. He says anyone could search through the extensive kinase literature to find good drug candidates, but he acknowledges that the researchers likely sped up their search with a well-organized database and software good at searching through it.
Tools such as AI are transforming healthcare. AI, as is well known, is very good at predictions. This explains why companies are putting AI to good use in healthcare. A Toronto-based health surveillance company, BlueDot, issued a warning to its customers to avoid Wuhan (where the virus originated) on Dec. 31, 2019. It was not until Jan.9, 2020, that the World Health Organisation (WHO) sent a similar public notice.