HCL Systems calls its Dry Ice. With traditional IT outsourcing revenue streams at risk to automation, a number of IT service providers are responding by developing their own homegrown systems which are designed to perform routine tasks and operations otherwise performed by humans. The good news is that CIOs now have a number of automation options to choose from. The array of choices can be confusing and the unproven systems can be risky. It may not be immediately clear how these new automation options from traditional IT service providers differ from the solutions of the more well-established robotic systems companies like IPSoft or BluePrism.

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."

The idea of neural networks began unsurprisingly as a model of how neurons in the brain function, termed'connectionism' and used connected circuits to simulate intelligent behaviour .In 1943, portrayed with a simple electrical circuit by neurophysiologist Warren McCulloch and mathematician Walter Pitts. Donald Hebb took the idea further in his book, The Organization of Behaviour (1949), proposing that neural pathways strengthen over each successive use, especially between neurons that tend to fire at the same time thus beginning the long journey towards quantifying the complex processes of the brain. In 1950s, as researchers began trying to translate these networks onto computational systems, the first Hebbian network was successfully implemented at MIT in 1954. Around this time, Frank Rosenblatt, a psychologist at Cornell, was working on understanding the comparatively simpler decision systems present in the eye of a fly, which underlie and determine its flee response. In an attempt to understand and quantify this process, he proposed the idea of a Perceptron in 1958, calling it Mark I Perceptron.

Weather Underground makes weather forecasts based on 8,000 public and 192,000 privately constructed weather stations across 195 countries. The company is adding 400 new stations across Asia, South America, and Africa, and it'll be integrating all of them with IBM's Watson language-learning AI (the one that played Jeopardy! So what exactly does this mean? It is creating a global weather forecast system tied into a number of worldwide businesses, and with that, a hope to outmaneuver one of the most costly, damaging variables in global industry--weather. When IBM bought The Weather Company/WU last October it immediately announced its intention to merge WU's 200,000 weather stations with Watson through the Internet of Things.

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.