While in Hollywood films hi-tech robots are portrayed as a threat, Chinese engineers might be able to change your mind. We take a closer look at the role artificial intelligence might play in the future RT LIVE http://rt.com/on-air Follow us on Twitter http://twitter.com/RT_com Follow us on Google http://plus.google.com/ RT (Russia Today) is a global news network broadcasting from Moscow and Washington studios.

Google it today and you'll see that the European Commission has turned up the heat in its long-running probe into anti-competitive behaviour by the web's most popular search engine. EC competition chief, Margrethe Vestager, issued formal objections alleging that Google abuses its dominant position in the market of "general internet search". In particular, the EC claims that Google artificially boosts its own products in returning Google comparison shopping results in its service "Google Shopping", even if those products aren't the best or cheapest – the "most relevant", as the Commission puts it – for consumers. Since taking office in November 2014, Vestager has made the Google inquiry a top priority, signalling a willingness to consider court battles and hefty fines if Google and other digital giants don't fall into line with European competition law. In this, she has displayed a distinct shift from her predecessor, Joaquín Almunia, whose multiple attempts to achieve private settlement with Google fell apart a year ago, before descending into a political and economic boxing match.

The Defense Department of the United States is reportedly seeking entrepreneurial Silicon Valley bigwigs to build out the future of defense with the help of artificial intelligence technology. Can artificial intelligence (AI) be used as a defense armor? Well, the Defense Department of the United States is reportedly seeking entrepreneurial Silicon Valley bigwigs to build out the future of defense with the help of AI technology. With the emergence of artificial intelligence, Washington has sought the expertise of Silicon Valley's technology leaders. In fact, U.S. Defense Secretary Ashton B. Carter visited the Valley for the fourth time to talk about the importance of incorporating artificial intelligence in America's warfare weapons, New York Times notes.

Toyota employed AI technology onto their website for buyers to have a better experience. Artificial intelligence is one of the hottest topics today. It has been used in medicine, games, government services and automobiles to name a few. In fact, according to new reports, Toyota websites are already powered by an AI framework. Phys.org reported that one of the largest automobile companies in the world has already used AI on their websites.

Video Friday is your weekly selection of awesome robotics videos, collected by your dance-challenged Automaton bloggers. We'll also be posting a weekly calendar of upcoming robotics events for the next two months; here's what we have so far (send us your events!): Let us know if you have suggestions for next week, and enjoy today's videos. SNUMAX is a "multi-functional soft robot" developed by Seoul National University's Biorobotics Laboratory, which won the RoboSoft Grand Challenge this year. "Boomf is the noise a marshmallow makes when it falls through your letterbox and lands on your doormat."

Research indicates that IoT and Machine Learning are more valuable to utilities when used in combination but there are hurdles to overcome first. Machine learning and IoT will enable utilities to better realize the next generation of the power grid: a distributed system with power flows among millions of things like distributed energy resources (DERs), microgrids and in-home devices. All of which will help utilities deliver clean reliable energy and greater customer choice. Utility respondents to new research from SAS and Zpryme, The Autonomous Grid, indicated that IoT and machine learning were more than market hype. These technologies are already delivering actionable results, say respondents.

Creating applications with the ability to learn from available data and making decisions based on the prediction results obtained from the learned models has become a trend-setting aspect in the software industry. Therefore, almost all applications that do predictive modeling uses one or more of these already available machine learning engines. With the ability to directly interact with these engines with simple API calls, intricacy of integration has alleviated rapidly. One of the common practices is training models with machine learning engines and building predictive APIs on top of them to retrieve prediction results for a new event. This article discusses how to train a machine learning model with WSO2 Machine Learner and create a predictive API with WSO2 API Manager with the trained model.

You must understand your data in order to get the best results from machine learning algorithms. The fastest way to learn more about your data is to use data visualization. In this post you will discover exactly how you can visualize your machine learning data in Python using Pandas. Visualize Machine Learning Data in Python With Pandas Photo by Alex Cheek, some rights reserved. Each recipe in this post is complete and standalone so that you can copy-and-paste it into your own project and use it immediately.

LONDON--(BUSINESS WIRE)--According to the latest research study released by Technavio, the global industrial robotics market in the rubber and plastic industry is expected to record a CAGR of over 18% until 2020. This research report titled'Global Industrial Robotics Market in the Rubber and Plastic Industry 2016-2020', provides an in-depth analysis of market growth in terms of revenue and emerging market trends. To calculate the market size, the report considers the revenue generated primarily through the sales and services of various industrial robotics such as cartesian, articulated, and others for different applications in the rubber and plastic industry. "China accounted for about 25% of the overall production of plastics, followed by European countries that accounted for 20%. Key findings of this report show that the demand for plastics is anticipated to grow during the forecast period, and positively impact the market. Significant improvements in gripper technology, such as the development of Versaball by Empire Robotics for handling materials of any shape and size, is also slated to play a critical role in the expansion of robots in the rubber and plastic industry," said Bharath Kanniappan, one of Technavio's lead analysts for robotics research.

We like to think we've moved past the workplace sexism of the 1950s, when men were professionals and women were secretaries. But while women have managed to break out of those subservient roles, the genders we assign to artificial-intelligence robots suggests our prejudices haven't made as much progress. After law firm BakerHostetler hired an AI "lawyer" named ROSS, journalist Rose Eveleth noted that the male name was somewhat unusual in the world of AI. I would just like to note that all the assistant AIs are given female names, but the lawyer AI is named Ross. Critics have previously noted that most AI assistants--including Apple's Siri, Google Now, Amazon's Alexa, and Microsoft's Cortana--sound like women.