BEIJING/SHANGHAI - China's top content regulator has asked local authorities to stop submitting requests to monetize new video games while it processes a backlog of applications built up after a lengthy pause last year, three people with knowledge of the matter have said. The General Administration of Press and Publications (GAPP) issued the notice this week, the people said, indicating the impact on gaming stocks of the nine-month hiatus could continue and dulling hopes raised by the recent resumption of approvals. The regulator's notice has not previously been reported. China stopped approving the monetization of new titles last March amid a regulatory body reshuffle triggered by growing criticism of games being violent and addictive, as well as concern over the increase in myopia among young people. Gaming firms such as Tencent -- China's most valuable listed company -- were able to continue filing applications, building up a backlog.

University of Johannesburg and CIRANO; 4 / 46 AEA 2019 - Atlanta SKEMA Introduction Introduction China's rapid development have spurred large migration from rural areas to urban areas Between 1990 and the end of 2015 the proportion of China's population living in urban areas jumped from 26% to 56% Currently estimated by census, there are more than 240 million rural-to-urban migrants and more than 160 million working in cities outside of their hukou.

Since the first Autonomous Vehicles Readiness Index (AVRI) was published in January 2018, there has been a huge acceleration in investment in AV technology, policy adoption by governments to encourage AVs and media coverage of the topic. The 2019 AVRI adds five new countries (Czech Republic, Hungary, Finland, Israel and Norway) for a total of 25; new measures including a consumer opinion poll on AVs; and provides greater insights into individual countries, drawing on the expertise of colleagues across the KPMG network. Once again, The Netherlands ranked #1. Notably, it is working with neighboring countries to launch huge platoons of driverless trucks to transport flowers on major "Tulip Corridor" routes from Amsterdam to Antwerp and Rotterdam to the Ruhr valley. Singapore, a powerhouse of technological innovation, ranked #2.

Every year, it seems, pundits and egg-heads (like me) write down our predictions. Most of the time they are self-serving. However, looking into my crystal ball, I think 2019 is going to be a defining year at the intersection of physical and cybersecurity. The Internet of Things (IoT) and advances in artificial intelligence are some of the main driving forces in this evolution. Further, with chaos happening throughout the world, and the lead-up to a turbulent US presidential election, there has never been a more perilous--and opportunistic--time for those in the IoT and security business.

The race for Artificial Intelligence is launched. Like any technology, AI is not a risk in itself; it is its use that will determine the level and nature of the threats it is likely to cause. AI opens fabulous perspectives in the medical field, in the transport sector, even the protection of the environment. Nevertheless, these latest developments also draw a new spectrum of threats that we will attempt to outline, focusing on three specific types: military ethics, socio-political and geopolitical. In the military field, the use of AI is considered mainly from two angles, that of collaborative combat (between man and the "machine") and that of autonomous weapons.

President Donald Trump released a splashy new plan for American artificial intelligence last week. High on enthusiasm, low on details, its goal is to ramp up the rate of progress in AI research so the United States won't get outpaced by countries like China. Experts had been warning for months that under Trump, the US hasn't been doing enough to maintain its competitive edge. Now, it seems, Trump has finally got the memo. His executive order, signed February 11, promises to "drive technological breakthroughs ... in order to promote scientific discovery, economic competitiveness, and national security."

AI algorithms can quickly detect and localize wrist fractures in X-ray images, which can augment the work of harried emergency physicians and radiologists. Missing a fracture on an emergency department radiograph is one of the most common causes of diagnostic errors and subsequent litigation. Such errors are due to clinical inexperience, distraction, fatigue, poor viewing conditions and time pressures. The study authors, from the National University of Singapore, hypothesized that automated analysis using artificial intelligence (AI) would be "invaluable" in reducing these misreadings and that an object detection convolutional neural network (CNN) would work better than other CNNs. Object detection CNNs are extensions of image classification models that not only recognize and classify objects on images, but also localize the position of each object.

The approval freeze dragged down shares in Tencent and wiped billions of dollars off its market value. Among titles for which Tencent is awaiting a license to monetize is "PlayerUnknown's Battlegrounds Mobile", which industry insiders estimate could generate annual revenue of up to $1 billion.

Chances are you've heard of artificial intelligence, which has found widespread adoption in our popular culture. Generally speaking, AI is a set of computer algorithms that can learn to make decisions without human intervention. That's AI, though I think we can all agree there is some room for improvement in that arena. It's fun to ponder what technological wizardry AI will offer future generations. Where it becomes daunting, however, is when we consider its long-term global implications and the structure necessary to harness its development.

At a recent technology show in Tokyo, a large robot arm reached into a full-sized mockup of a shipping container and began unloading boxes from it. Set on a platform that moved back and forth, the robot was doing a job usually carried out by warehouse workers and forklift operators. The goal of the company that's developing it, Mujin, is total automation. The system, still a prototype, doesn't work perfectly -- it accidentally damaged a box during the demo -- but it's going to be trialed in warehouses in Japan this year. "Lifting heavy boxes is probably the most backbreaking task in warehouse logistics," said Mujin's American co-founder and CTO, Rosen Diankov.