Nvidia's current Pascal GPUs are generating a lot of enthusiasm, but their successor, the Volta GPU architecture, is on its way next year, and there's a lot to be excited about. Nvidia unveiled Volta in a new Xavier supercomputer chip designed for self-driving cars, with the small surprising coming Wednesday at the company's GPU Technology Conference in Amsterdam. Xavier provides unprecedented computing horsepower, allowing cars to recognize images, analyze on-road situations, and take action. Much of the processing will happen on an integrated 512-core Volta GPU. Xavier will power the successor to Nvidia's current self-driving car computer called Drive PX 2. It has dual 8K HDR video recording capabilities, suggesting the new GPU architecture will explore areas beyond 4K graphics.

Banks are positioned to pioneer the use of artificial intelligence to help them retain clients in an era of technological disruption, IBM Chief Executive Officer Ginni Rometty said at a conference in Geneva. "Financial services, I believe, can and will lead the world into this era," Rometty said at the Sibos conference on Wednesday, sharing a panel with Sergio Ermotti, CEO of UBS Group AG. "The ultimate competitive advantage is being cognitive." International Business Machines Corp. has touted its "cognitive solutions" unit and its Watson artificial intelligence platform as crucial to future growth. Revenue at that unit increased 3.5 percent to 4.7 billion in the second quarter, following five straight quarterly declines, the company reported in July.

It is the luxury speedboat with a pricetag that could leave you shaken, but not stirred. Luxury car maker Aston Martin, the supplier of James Bond's cars, has revealed its first foray onto water at the Monaco Yacht Show - and it will cost 1.7m ( 1.3m). The new day-cruiser is offered in two versions with the AM37S expected to reach speeds of 50 knots. Luxury car maker Aston Martin, the supplier of James Bond's cars, has revealed its first foray onto water at the Monaco Yacht Show. The AM37 S represents the ultimate sports driving experience on the water to enjoy in every occasion, from a runabout to a superior commuter.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

For many new Facebook employees, their first days begin in front of a computer screen, learning the ins and outs of the company's code. That code, after all, serves as the foundation of the company's gigantic social network, hosting more than 1 billion daily visitors. With that in mind, it may be surprising to hear that Joel Kjellgren's first six months at Facebook were spent working out of a construction trailer. He doesn't work on the Like buttons, notification icons, or the other tools and buttons Facebook members push and poke on a regular basis. Rather, as the site manager of Facebook's data center in Luleå, Sweden, Kjellgren's oversees the massive facility that processes petabytes of data in the form of photos and stories posted to Facebook.

In the previous parts of this series, we looked at an overview of some popular tricks for feature engineering, and examined those tricks in greater detail. In this part, we continue our closer examination of these approaches with a deeper dive into the final techniques described in Part 1. The examples discussed in this article can be reproduced with the source code and datasets available here. As an analyst, you savor the scenario in which you have a lot of data. But, with a lot of data comes the added complexity of analyzing and making better sense of that data.

At the inaugural GPU Technology Conference Europe, NVIDIA CEO Jen-Hsun Huang today unveiled Xavier, our all-new AI supercomputer, designed for use in self-driving cars. "This is the greatest SoC endeavor I have ever known, and we have been building chips for a very long time," Huang said to the conference's 1,600 attendees. Xavier is a complete system-on-chip (SoC), integrating a new GPU architecture called Volta, a custom 8 core CPU architecture, and a new computer vision accelerator. The processor will deliver 20 TOPS (trillion operations per second) of performance, while consuming only 20 watts of power. As the brain of a self-driving car, Xavier is designed to be compliant with critical automotive standards, such as the ISO 26262 functional safety specification.

If you have ever tried to decipher a foreign document using Google Translate, you might be aware of that unique feeling of part-frustration, part-amusement that comes when there is clearly something wrong with the result. Although they are only ever small, mistranslations do creep in, altering the overall effectiveness of the translation tool. But Google is now hoping to fix this problem, using artificial intelligence. The Google Translate tool, which launched ten years ago, has now been updated to use a deep learning model known as neural machine translation. The Google Translate tool, which launched ten years ago, has now been updated to use a deep learning model known as neural machine translation.

The question of which model type to apply to a Machine Learning task can be a daunting one given the immense number of algorithms available in the literature. It can be difficult to compare the relative merits of two methods, as one can outperform the other in a certain class of problems while consistently coming in behind for another class. In this post, the last one of our series of posts about Logistic Regression, we'll explore the differences between Decision Trees and Logistic Regression for classification problems, and try to highlight scenarios where one might be recommended over the other. Logistic Regression and trees differ in the way that they generate decision boundaries i.e. the lines that are drawn to separate different classes. To illustrate this difference, let's look at the results of the two model types on the following 2-class problem: Decision Trees bisect the space into smaller and smaller regions, whereas Logistic Regression fits a single line to divide the space exactly into two.

Our third regional GPU Technology Conference in as many weeks reached another packed house today, as NVIDIA co-founder and CEO Jen-Hsun Huang unveiled technology that will accelerate the deep learning revolution. "GPU computing is at the beginning of something very, very important, a brand new revolution, what people call the AI revolution, the beginning of the fourth industrial revolution," Huang told a crowd of 1,600 scientists, engineers, entrepreneurs and press, gathered at Amsterdam's gleaming waterfront music hall. "However you describe it, we think something really big is around the corner." In the latest stop in a tour that will bring GTC to eight cities around the world, Huang unveiled Xavier, our next-generation system-on-chip for powering self-driving cars; announced an agreement with TomTom, the Dutch mapping and navigation group, to use AI to create a cloud-to-car mapping system for self-driving cars; detailed our DriveWorks Alpha 1 release, and highlighted the work we're doing with some of Europe's most innovative startups and research labs. In the previous two weeks, Haung spoke at regional GTCs in Beijing and Taiwan that each drew crowds of more than 2,000.