We propose the Margin Adaptation for Generative Adversarial Networks (MAGANs) algorithm, a novel training procedure for GANs to improve stability and performance by using an adaptive hinge loss function. We estimate the appropriate hinge loss margin with the expected energy of the target distribution, and derive principled criteria for when to update the margin. We prove that our method converges to its global optimum under certain assumptions. Evaluated on the task of unsupervised image generation, the proposed training procedure is simple yet robust on a diverse set of data, and achieves qualitative and quantitative improvements compared to the state-of-the-art.

BEIJING – China's biggest online retailer, JD.com Inc., announced plans Monday to develop drone aircraft capable of carrying a ton or more for long-distance deliveries. The company said it will test the drones on a network it is developing to cover the northern Chinese province of Shaanxi. It said they will carry consumer goods to remote areas and farm produce to cities. JD.com, headquartered in Beijing, says it made its first deliveries to customers using smaller drones in November. Other e-commerce brands including Amazon.com Inc. also are experimenting with drones for delivery. "We envision a network that will be able to efficiently transport goods between cities, and even between provinces, in the future," the chief executive of JD's logistics business group, Wang Zhenhui, said in a statement.

"Speaker: Christopher Fonnesbeck This intermediate-level tutorial will provide students with hands-on experience applying practical statistical modeling methods on real data. Unlike many introductory statistics courses, we will not be applying ""cookbook"" methods that are easy to teach, but often inapplicable; instead, we will learn some foundational statistical methods that can be applied generally to a wide variety of problems: maximum likelihood, bootstrapping, linear regression, and other modern techniques. The tutorial will start with a short introduction on data manipulation and cleaning using [pandas](http://pandas.pydata.org/), Slightly more advanced topics include bootstrapping (for estimating uncertainty around estimates) and flexible linear regression methods using Bayesian methods. By using and modifying hand-coded implementations of these techniques, students will gain an understanding of how each method works.

Jeremy P. Howard, @JeremyPHoward, is a leading Machine Learning and Deep learning researcher and entrepreneur. His current startup is fast.ai Previously, he was CEO and founder of Enlitic, Kaggle President, and #1 ranked Kaggle competitor. Jeremy initiatives attracts a lot of attention in the industry, so I was very interested to learn from him about his latest project, a first Deep Learning for coders MOOC at course.fast.ai. The course is totally free and includes no advertising - Jeremy created it purely as a service to the community.

SYS-CON Events announced today that Loom Systems will exhibit at SYS-CON's 20th International Cloud Expo, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Founded in 2015, Loom Systems delivers an advanced AI solution to predict and prevent problems in the digital business. Loom stands alone in the industry as an AI analysis platform requiring no prior math knowledge from operators, leveraging the existing staff to succeed in the digital era. With offices in San Francisco and Tel Aviv, Loom Systems works with customers across industries around the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT.

By their own admission, Jack Ma is uncomfortable with Artificial Intelligence (AI) and Elon Musk is scared. But why? Contrary to popular perception AI is old. To be precise it's 51-years old, widely acknowledged to have been born at a conference at Dartmouth College in 1956. That conference was attended by a diverse group of people. Three of them presented the Logic Theorist, the world's first true artificial intelligence programme. Two of them were Allen Newell and Herbert Simon.

Last week taurob, together with research partner TU Darmstadt, was announced the winner of the ARGOS Challenge, powered by Oil & Gas giant Total S.A. In a three-year competition, five international teams competed to develop a robot for routine-, inspection- and emergency operations on oil & gas sites. Frequently, gas leaks on oil drilling rigs can cause an increased risk to safety and the environment. The acronym ARGOS stands for Autonomous Robot for Gas and Oil Sites, which suggests that the robot independently performs assigned tasks. If necessary, an operator can intervene at any time via a satellite-based connection from land and take control of the robot.

For decades robotic exoskeletons were the subject of science fiction novels and movies. But in recent years, exoskeleton technology has made huge progress towards reality and exciting research projects and new companies have surfaced. Typical applications of today's exoskeletons are stroke therapy or support of users with a spinal cord injury, or industrial applications, such as back support for heavy lifting or power tool operation. And while the field is growing quickly, it is currently not easy to get involved. Learning materials or exoskeleton courses or classes are not widely available yet. This has made it difficult, as learning about exoskeletons is not possible by theory alone, but ideally, involves practical hands-on experience (feel it understand it).

Ford is to install the head of its driverless cars division as chief executive, as the company that pioneered the assembly line looks to the next stage of the industry's evolution. The Detroit-based carmaker is expected to sack the chief executive, Mark Fields, and overhaul its senior management team, according to a report from Forbes. The reported changes come amid growing misgivings among investors about the company's recent financial performance and its future prospects. Fields will be replaced by Jim Hackett, who runs the "smart mobility" unit that houses Ford's autonomous vehicle projects and is said to be highly rated by executive chairman Bill Ford Jr. Ford's shares have fallen by 37% during Fields' tenure,and has now been overtaken in stock market value by newcomer Tesla, which specialises in electric cars and is testing driverless vehicles. The 114-year-old company has also been outpaced by traditional rivals such as General Motors, which posted rising first-quarter profit earlier this year, even as Ford's own earnings slumped. Hackett's appointment indicates a firmer commitment to driverless vehicles from the company whose founder Henry Ford pioneered the assembly line production method that dominated the 20th century.

Ford Motor Co. is expected to announce on Monday the replacement of President and CEO Mark Fields with board member Jim Hackett. Hackett is also head of the company's smart mobility unit, which is focused on its ride-hailing and car-sharing efforts. According to several reports, the move is due to the automaker's recent disappointing profits and stock price, which has dropped nearly 40 percent since Fields took over in 2014. Fields, 56, has worked at the company for 28 years, and previously served as CEO of then Ford-owned Mazda, and president of The Americas. Ford has not officially confirmed Field's departure, and issued a statement to Automotive News that said, "we are staying focused on our plan for creating value and profitable growth.