In a bid to modernize battlefield resources, the Chinese Army has started trialing unmanned tanks, according to a new report from state-run publication Global Times. The upgraded military vehicles are currently being tested with a distant manned console, much like remotely operated drones. However, the People's Liberation Army Ground Force, aka PLAGF, also plans to integrate them with artificial intelligence, in order to make them nearly self-operable. A short video from CCTV, a prominent state television broadcaster in the People's Republic of China, recently appeared on the internet showcasing one of the unmanned vehicles being tested. The clip features a modified version of a dated Type 59 tank moving forward and backward like a remote-controlled car and a distant Chinese Army official manning its control-box a few meters away.

SHANGHAI – U.S. President Donald Trump often tweets from his iPhone about pressuring China to address its $375 billion trade surplus with the United States. But a closer look at the Apple smartphone reveals how the headline figure is distorted. The big trade imbalance -- at the heart of a potential trade war, with Trump expected to impose tariffs on Chinese imports this week -- exists in large part because of electrical goods and tech, the biggest U.S. import item from China. Apple Inc.'s iPhone, however, illustrates how a big portion of that imbalance is due to imports of American-branded products -- many of which use global suppliers for parts but are put together in China and shipped around the world. Take a look at the iPhone X. IHS Markit estimates its components cost a total of $370.25.

On March 7, hackers engaged in cryptocurrency mining, attacked one of the largest torrent-applications for downloading movies (the second in the world after BitTorrent), well known, including in Russia as Mediaget.com. Criminals managed to hack the server through which the torrent update is carried out and the "secret miner" was installed on the computers of Mediaget customers, which began to actively absorb the resources of users' electronic devices. According to Microsoft, who managed to stop the invasion in time, if not for the qualified actions of their employees, the number of victims around the world would have been estimated in the millions. The calculation of criminals was simple and was based on the desire to obtain basic physical resources to expand the scale of their own business. In this regard, it should be noted that the production of any electronic currency requires two main components - computer hardware with powerful graphics cards and, as a result, a large amount of electricity.

Artificial intelligence and robotics are disrupting every aspect of work and redefining productivity. The old ways of not just working, but also assessing capabilities, hiring and compensation, are undergoing a massive change. In a conversation with Knowledge@Wharton, Srikanth Karra, chief human resource officer at Indian IT services firm Mphasis, discusses what this means for individuals, organizations and countries. Karra said managerial jobs and tasks that are repetitive in nature will be displaced and the ability to learn new skills will be critical for individuals who want to stay relevant. Companies will need to devise new ways of training and assessing the skills of employees while countries must develop a learning ecosystem. "Work will be more contractual in nature and deep technical skills, creativity and learnability will be at a premium," he noted.

HONG KONG (Reuters) - China's SZ DJI Technology Co Ltd, the world's largest maker of drones for consumers, is in talks with investors for at least $500 million in funding ahead of a planned stock market debut, people with knowledge of the matter said.

Indian philanthropist, cardiac surgeon and founder of Narayana Hrudayalaya, Devi Prasad Shetty pioneered the running of hospitals like a mix of Wal-Mart and a low-cost airline that resulted in the chain of'no-frills' Narayana Hrudayalaya clinics in southern India. Rapid advances in technology are promising to transform the service sector in much the same way as the industrial revolution in the 18th century reshaped manufacturing. As technologies become smarter, smaller, cheaper and more sophisticated there are few services that will not be affected. Developments in areas such as mobile technology, wearables, robotics, virtual reality, speech recognition and artificial intelligence will bring opportunities for a wide range of service innovations that have the potential to dramatically improve the customer experience, service quality and productivity all at the same time. Self-driving cars, drone-delivery and largely robot-staffed hotels and restaurants are only the beginning of this revolution, with new technologies creating opportunities for firms to become both cost-leaders and service-leaders in their respective industries.

The move towards an intelligent world is faster and more rapid than it ever was before. The increase in this transition has been propagated through the role of several high key stakeholders that have redefined the way we look at technology. One of the key players in this transition is Huawei. Huawei's recent UBBF conference held in Hangzhou on October 18-19 was a step towards awareness in this regard. Being personally present at this conference, there were numerous intakes that I noted down and would like to present to my readers.

Chinese speech recognition firm iFlytek's technology will be available on more of Dongfeng Venucia's vehicles, as the two companies reached a strategic partnership Tuesday. The cooperation will be focused on integration, not only of speech recognition technology, but also Internet of Vehicles technology and vehicle designing and manufacturing. The partnership was announced in Hefei, capital of Anhui province, where iFlytek is headquartered. An independent company spun off from Dongfeng Nissan's China developed brand, Venucia has been strengthening its position by developing an IoV network through cooperation with multiple partners, according to Ma Lei, deputy general manager of Dongfeng Venucia. "As a leader in speech recognition technology, iFlytek has been seeking to step up integration of its technology with vehicle makers," said Liu Junfeng, chief of iFlytek's intelligent vehicle business sector.

Dennis Hopper was not happy. It was the summer of 1992, a few weeks into shooting Super Mario Bros: The Motion Picture and the atmosphere on set was febrile. Endless rewrites and script splices had scrambled the story and dialogue. Producers, writers and investors were all working at cross purposes with the directors, the British couple Annabel Jankel and Rocky Morton. On set, there were 300 extras waiting to film the next scene. The lines Hopper was about to deliver had been changed at the last moment, and not for the first time. He was dressed as a humanoid dinosaur, heavily made up in the sweltering North Carolina heat, his hair gelled into a weird row of reptilian spikes. "We're in the bedroom of King Koopa's skyscraper; it's a big set," recalls actor and co-star Richard Edson.

Interventional clinical cancer trials are generally too restrictive and cancer patients are often excluded from them on the basis of comorbidity, past or concomitant treatments and the fact that they are over a certain age. The efficacy and safety of new treatments for patients with these characteristics are not, therefore, defined. In this work, we build a model with which to automatically predict whether short clinical statements were considered inclusion or exclusion criteria. We used clinical trials protocols on cancer that have been available in public registries for the last 18 years to train word embeddings, and constructed a dataset of 6M short free-texts labeled as eligible or not eligible. We then trained and validated a text classifier, using deep neural networks with pre-trained word-embedding as its inputs, to predict whether or not short free-text statements describing clinical information were considered eligible. The best model achieved an F-measure of 0.92 and an almost perfect agreement when employing a validation set of 800K labeled statements. The trained model was also tested on an independent set of clinical statements mimicking those used in routine clinical practice, yielding a consistent performance. We additionally analyzed the semantic reasoning of the word embedding representations obtained, and were able to identify equivalent treatments for a type of tumor in an analogy with the drugs used to treat other tumors. The present work shows that representation learning using neural networks can be successfully leveraged to extract the medical knowledge available on clinical trial protocols and potentially assist practitioners when prescribing treatments.