Numerous municipalities nationwide are struggling to aid foreign students who are learning at local public schools but cannot understand the Japanese language fully or at all, a Kyodo News survey showed Saturday. In a questionnaire survey on issues facing foreign children living in Japan, 46 percent of the 1,612 municipalities that responded said that learning the Japanese language and other subjects, which are taught in Japanese, remain a challenge for foreign students. The survey, conducted from May to July, also highlighted another stumbling block in aiding foreign students: many are dispersed in small numbers -- sometimes one or two -- in public schools nationwide. In the survey, the city of Utsunomiya, Tochigi Prefecture, said foreign students who speak 14 languages, including Vietnamese and Thai, are scattered across 39 of its 93 public elementary schools and junior high schools. In the southwestern city of Kagoshima, some of the foreign students cannot maintain the pace of classes with their Japanese peers and struggle in understanding tests, the questionnaire showed.

With dwindling budgets that require big layoffs, you really can't fault the news industry if it wants to catch a break. And to that end (although this is not so awesome for the news industry's writers), a lot of media outlets are kind of going full AI. Case in point, The Washington Post threw its hat in the AI game when setting it's AI, "Heliograf," to cover the Olympics, writing basic stories and keeping tallies of medal counts. Search engine and news syndication service Toutiao has employed Xiaomingbot, an AI writing robot, to cover the Olympics. Get this: the robot was able to publish 450 articles over the course of the 15-day event.

CHENNAI: Buying on Amazon, Flipkart or Snapdeal always comes with the prompt'Do you want to save your card details?' A question that poses a lot of risks -- at the merchant gateway, bank and customer end -- irrespective of whether it is a large retailer or your neighbourhood florist and confectioners. For banks, customers using e-commerce sites poses the debate of convenience versus security. With convenience comes lesser steps and faster buying, but higher security would mean multiple authentications and more time -- so to strike a fine balance between the two -- Indian banks are now looking at software products like FSS' Access Control, geo-fencing of accounts and rule-based access. "What it means is, if you use your card at an ATM in Chennai and in the next 5 minutes your husband tries to buy a product online from an e-commerce site from Delhi -- the card could get blocked or ask for further authentication. With artificial intelligence, the system could sense this is an unusual transaction because the same card is being used within 5 minutes at locations more than 1,000 kilometres apart," says Suresh Rajagopalan, president products, FSS.

Humans look to the power of machine learning to make better and more effective decisions. However, it seems that some algorithms are learning more than just how to recognize patterns - they are being taught how to be as biased as the humans they learn from. Researchers found that a widely used AI characterizes black-sounding names as'unpleasant', which they believe is a result of our own human prejudice hidden in the data it learns from on the World Wide Web. Researchers found that a widely used AI characterizes black-sounding names as'unpleasant', which they believe is a result of our own human prejudice hidden in the data it learns from on the World Wide Web Machine learning has been adopted to make a range of decisions, from approving loans to determining what kind of health insurance, reports Jordan Pearson with Motherboard. A recent example was reported by Pro Publica in May, when an algorithm used by officials in Florida automatically rated a more seasoned white criminal as being a lower risk of committing a future crime, than a black offender with only misdemeanors on her record.

Label ranking aims to learn a mapping from instances to rankings over a finite number of predefined labels. Random forest is a powerful and one of the most successfully general-purpose machine learning algorithms of modern times. In the literature, there seems no research has yet been done in applying random forest to label ranking. In this paper, We present a powerful random forest label ranking method which uses random decision trees to retrieve nearest neighbors that are not only similar in the feature space but also in the ranking space. We have developed a novel two-step rank aggregation strategy to effectively aggregate neighboring rankings discovered by the random forest into a final predicted ranking. Compared with existing methods, the new random forest method has many advantages including its intrinsically scalable tree data structure, highly parallel-able computational architecture and much superior performances. We present extensive experimental results to demonstrate that our new method achieves the best predictive accuracy performances compared with state-of-the-art methods for datasets with complete ranking and datasets with only partial ranking information.

Baidu's plan to make self-driving cars a consumer reality by 2018 just changed gears, so to speak. According to Business Insider, the company has swapped out its modified BMW 3-series test vehicles for an all-electric car designed for the Chinese market: the Chery EQ. Unmodified, the diminutive EV can drive about 120 miles on a full charge. Baidu intends to use it to further test its driverless tech in China. It costs a lot less, too: after cashing in government incentives, the Chery EQ can be had for 59.800 Yuan (about 9,000 in greenbacks).

In its test service, nuTonomy allows Singapore residents to use the developer's ride-hailing smartphone app to reserve free rides in a Renault Zoe or Mitsubishi i-MiEV electric vehicle that has been configured for autonomous driving. An engineer sits behind the steering wheel to monitor the system and take control if necessary. In a telephone interview, Iagnemma says the benefit of the live-testing in Singapore is to collect data on what customers think of the cars. "I would like to continue testing as long as we get useful data."

In this talk, Prof. Iiyoshi goes head to head with an AI questioning the fate of education and lifelong learning! Toru Iiyoshi was previously a senior scholar and Director of the Knowledge Media Laboratory at the Carnegie Foundation for the Advancement of Teaching (1999-2008), and Senior Strategist in the Office of Educational Innovation and Technology at Massachusetts Institute of Technology (2009-2011). He is the co-editor of the Carnegie Foundation book, "Opening Up Education: The Collective Advancement of Education through Open Technology, Open Content, and Open Knowledge" (MIT Press, 2008) and co-author of three books including "The Art of Multimedia: Design and Development of The Multimedia Human Body" and numerous academic and commercial articles. He received the Outstanding Practice Award in Instructional Development and the Robert M. Gagne Award for Research in Instructional Design from the Association for Educational Communications and Technology. Currently, he is the director and a professor of the Center for the Promotion of Excellence in Higher Education (CPEHE) at Kyoto University.

A very, very small quadcopter, one inch in diameter can carry a one- or two-gram shaped charge. You can order them from a drone manufacturer in China. You can program the code to say: "Here are thousands of photographs of the kinds of things I want to target." A one-gram shaped charge can punch a hole in nine millimeters of steel, so presumably you can also punch a hole in someone's head. You can fit about three million of those in a semi-tractor-trailer. You can drive up I-95 with three trucks and have 10 million weapons attacking New York City. They don't have to be very effective, only 5 or 10% of them have to find the target. There will be manufacturers producing millions of these weapons that people will be able to buy just like you can buy guns now, except millions of guns don't matter unless you have a million soldiers. You need only three guys to write the program and launch them. So you can just imagine that in many parts of the world humans will be hunted. They will be cowering underground in shelters and devising techniques so that they don't get detected. This is the ever-present cloud of lethal autonomous weapons. Mary Wareham laughs a lot. It usually sounds the same regardless of the circumstance -- like a mirthful giggle the blonde New Zealander can't suppress -- but it bubbles up at the most varied moments. Wareham laughs when things are funny, she laughs when things are awkward, she laughs when she disagrees with you. And she laughs when things are truly unpleasant, like when you're talking to her about how humanity might soon be annihilated by killer robots and the world is doing nothing to stop it. One afternoon this spring at the United Nations in Geneva, I sat behind Wareham in a large wood-paneled, beige-carpeted assembly room that hosted the Convention on Certain Conventional Weapons (CCW), a group of 121 countries that have signed the agreement to restrict weapons that "are considered to cause unnecessary or unjustifiable suffering to combatants or to affect civilians indiscriminately"-- in other words, weapons humanity deems too cruel to use in war. The UN moves at a glacial pace, but the CCW is even worse.

New Delhi: Delhi-based artificial intelligence start-up Octo.ai has raised 200,000 from early stage investor Outbox Ventures, Rahul Khanna, managing partner of venture debt fund Trifecta Capital and Jaspreet Bindra, head of e-commerce at Mahindra & Mahindra, the company said on Tuesday. The company will use the fund for enhancing technology. Ltd) is an open-source analytics platform built for machine learning. It helps companies retain their data and apply machine learning to power real-time insights, recommendations and personalised feeds on their platform. It allows them to install Octo, and send personalised push messages to each user to drive more active users and engagement.