EXCLUSIVE: New satellite imagery obtained by Fox News shows that China, for the first time, has deployed a drone with stealth technology to a contested island in the South China Sea, in another sign of escalating tensions in the region. The new development comes as President Obama visits Japan. He lifted an arms embargo against Vietnam while visiting Hanoi earlier this week, drawing criticism from the Chinese government about stoking tensions in the region. The newly obtained satellite images from ImageSat International (ISI) show a Chinese Harbin BZK-005 long range reconnaissance drone on Woody Island in the South China Sea. The Chinese drone did not appear armed in the satellite image taken last month.

IMAGE: This image shows deep neural networks for drug discovery. Deep learning, frequently referred to as artificial intelligence, a branch of machine learning utilizing multiple layers of neurons to model high-level abstractions in data, has outperformed humans in tasks including image, text and voice recognition, autonomous driving and others, and is now being applied to drug discovery and biomarker development. In a study published in Molecular Pharmaceutics, a prestigious journal published by the American Chemical Society, scientists from Insilico Medicine in collaboration with Datalytic Solutions and Mind Research Network trained deep neural networks to predict the therapeutic use of large number of multiple drugs using gene expression data obtained from high-throughput experiments on human cell lines. Deep neural networks outperformed other machine learning techniques and did not result in significant drop in performance as the number of classes increased. When the networks got confused and guessed the therapeutic use of the drugs incorrectly, the drugs often had dual use, indicating the possibility of using DNNs for drug repurposing.

The first wave of robots taking over human jobs is upon us. Apple Inc. AAPL, 0.79% supplier Foxconn Technology Co. 2354, -0.27% has replaced 60,000 human workers with robots in a single factory, according to a report in the South China Morning Post, initially published over the weekend. This is part of a massive reduction in headcount across the entire Kunshan region in China's Jiangsu province, in which many Taiwanese manufacturers base their Chinese operations. In a statement to MarketWatch, Foxconn Technology Group confirmed that it has been automating its manufacturing facilities throughout China, including Kunshan, for "many years," which it says has freed up its employees to focus on higher value-added elements of the manufacturing process, such as research and development, process control and quality control. "Across all of our facilities today, we are applying robotics engineering and other innovative manufacturing technologies to replace repetitive tasks previously done by employees," Foxconn said.

"APAC expected to be the fastest-growing market" The AI market in APAC is expected to grow at the highest CAGR between 2015 and 2020. The rapid adoption of the machine learning technology in the advertising & media, finance, and retail sectors in this region and increase in the usage of natural language processing technology are contributing to the growth of the artificial intelligence market in APAC. In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were also conducted with key people in the market. The break-up of profiles of primary participants is given below. Some of the key players in the artificial intelligence market profiled in this report are: 1. Zephyr Health (U.S.) The report will help the market leaders/new entrants in this market in the following ways: 1.

When AlphaGo, Google's artificial intelligence program, defeated champion Go player Lee Sedol earlier this year, everyone praised its advanced software brain. But the program, developed by Google's DeepMind research team, also had some serious hardware brawn standing behind it. The program was running on custom accelerators that Google's hardware engineers had spent years building in secret, the company said. With the new accelerators plugged into AlphaGo's servers, the program could recognize patterns in its vast library of game data faster than it could with standard processors. The increased speed helped AlphaGo make the kind of quick, intuitive judgments that have escaped other computers trying to conquer the game.

Much of the technology that underpins these systems is shared among the industry. A handful of companies like Bosch, Delphi, and Mobileye provide sensors, control units, and even algorithms to car makers, who then integrate and refine those systems. Depending on the make of car, these advanced driver assistant systems--ADAS in industry speak--might be called Traffic-Aware Cruise Control and Autosteer (Tesla), IntelliSafe Assist and Pilot Assist (Volvo), Distronic Plus with Steering Assist (Mercedes-Benz), Adaptive Cruise Control with Lane Assist and Traffic Jam Assist (Audi), and so on. But all of them work on the same basic principles. A fusion of sensors identify the lane markings on the road, the cars around you, and now even road signs like speed limits or school zones, and use this information to maintain your speed and a safe distance to those other cars.

ROSCON 2016 is happening October 8-9 in Seoul, Korea: http://roscon.ros.org/2016/ Proposals for presentations on all topics related to ROS are invited: http://roscon.ros.org/2016/#call-for-proposals The proposal submission deadline is July 8th, 2016: http://roscon.ros.org/2016/#important-dates Women, members of minority groups, and members of other under-represented groups are encouraged to submit presentation proposals to ROSCon. Proposals will be reviewed by the program committee, which will evaluate fit, impact, and balance.

Based on presale numbers, "Warcraft" is one of China's most anticipated films of all-time. But more importantly, it could give Hollywood another avenue to capitalize on a nearly 7 billion movie market that's growing at nearly 50 percent a year -- but has a select few preferences. Industry analyst Jonathan Papish of China Film Insider noted Universal Pictures' "Warcraft," based on the video game series from Activision Blizzard has reeled in 2 million in ticket presales for its midnight premiere 12 days before it happens, which is already the sixth-best ever. That doesn't necessarily mean "Warcraft" will be a long-tail hit in China like "Furious 7" or "Zootopia." After all, "Batman v Superman: Dawn of Justice" also had strong China presales numbers but ended up being a major disappointment, dropping 80 percent in its second weekend amid reports of bored crowds playing on their phones.

The online world has blossomed with machine-driven riches. We don't send letters; we email. We don't look up a restaurant in a guide book; we look it up on OpenTable. When a computer that makes any of this possible goes wrong, we even search for a solution online. We thrive on the multitude of "signals" available. But where there's signal, there's "noise"--inaccurate, inappropriate, or simply unhelpful information that gets in the way. For example, in receiving email, we also fend off spam; while scouting for new employment, we receive automated job referrals with wildly inappropriate matches; and filters made to catch porn may confuse it with medical photos. We can filter out all of this noise, but at some point it becomes more trouble than it's worth--that is when machines and their algorithms can make things much easier. To filter spam mail, for example, we can give our machine and algorithm a set of known-good and known-bad emails as examples so the algorithm can make educated guesses while filtering mail. Even with solid examples, though, algorithms fail and block important emails, filter out useful content, and cause a variety of other problems. As we'll explore throughout this report, the point at which algorithms fail is precisely where there's an opportunity to insert human judgment to actively improve the algorithm's performance.

These two fields of massive innovation will generate more jobs in the coming 2 decades than anything else as they will become our necessity. The counter-narrative is- how good are these new technologies for us? Will AI replace humans and bots will take over? Will we see bots dictating our 24 hours to keep us healthy and safe? Or will they overpower us, even in thinking?