This paper presents a simple yet effective method for anomaly detection. The main idea is to learn small perturbations to perturb normal data and learn a classifier to classify the normal data and the perturbed data into two different classes. The perturbator and classifier are jointly learned using deep neural networks. Importantly, the perturbations should be as small as possible but the classifier is still able to recognize the perturbed data from unperturbed data. Therefore, the perturbed data are regarded as abnormal data and the classifier provides a decision boundary between the normal data and abnormal data, although the training data do not include any abnormal data. Compared with the state-of-the-art of anomaly detection, our method does not require any assumption about the shape (e.g.

This paper presents a simple yet effective method for anomaly detection. The main idea is to learn small perturbations to perturb normal data and learn a classifier to classify the normal data and the perturbed data into two different classes. The perturbator and classifier are jointly learned using deep neural networks. Importantly, the perturbations should be as small as possible but the classifier is still able to recognize the perturbed data from unperturbed data. Therefore, the perturbed data are regarded as abnormal data and the classifier provides a decision boundary between the normal data and abnormal data, although the training data do not include any abnormal data. Compared with the state-of-the-art of anomaly detection, our method does not require any assumption about the shape (e.g.

A Baidu Apollo autonomous vehicle is on display during the 2nd Digital China Summit & Exhibition at ... [ ] Fuzhou Strait International Conference & Exhibition Center on last year in Fuzhou, Fujian Province of China. As the technology dawned, the predictions were stunning: one 2015 prediction forecast that autonomous vehicles would be piloting humans around U.S. cities in significant numbers as soon as 2018. But here we are in 2020 and AVs have barely shown themselves in the United States, while other countries--notably China--are threatening to take the lead. "Even the manufacturers have taken a much more careful view of it, a much more calculated view in the United States," said Jerry Quandt, executive director of the Illinois Autonomous Vehicle Association, "but we are seeing it happening in China, and there are cities where 20 percent of the vehicles they have on the road are autonomous." It's not entirely clear where the two countries stand in relation to technology development.

Alipay has rolled out an electronic identity (ID) card certified by the government in three cities in China, the company has announced. Users of the mobile payment app can receive an ID card, certified by the Ministry of Public Security, after facial recognition authentication and use it just like a physical card for certain services in the cities of Zhangzhou, Hangzhou, and Fuzhou. The ID card will have a two dimensional code that can be scanned for verification and will be valid for certain administration services, hotel check-ins, and ticket purchases. Alipay said the ID card can only be used after fingerprint or facial recognition, and that its facial recognition had an accuracy of 99.99 percent. China is promoting its so-called "Internet Government" initiative to roll out one-stop services that use the internet to increase convenience.

The guitarist of the band'Lightningfan' Wang Hongbin (C) creates lightning with a Tesla Coil in a village outside of Fuzhou in China's Fujian province in June 2013. The Tesla Coil invented by Nikola Tesla in 1891 is a transformer that produces vast amounts of voltage at high frequencies that creates long bolts of electricity like lightning. Nikola Tesla was one of America's greatest inventors and carries a mystique unlike any other immigrant to the United States. Before he became the name of a car company and a character in modern science fiction novels, Nikola Tesla immigrated to the United States and turned into an inventor extraordinaire. Tesla is credited with many important innovations and his ideas are still talked about today.