This team has decades of practical experience in working with Java and with billions of rows of data. If you are an analyst or a data scientist, you're used to having multiple systems for working with data. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to productionize your code. Scala: Scala is a general purpose programming language - like Java or C . It's functional programming nature and the availability of a REPL environment make it particularly suited for a distributed computing framework like Spark. Analytics: Using Spark and Scala you can analyze and explore your data in an interactive environment with fast feedback.

If the competition was responsible for the 19.0% SAP has increased its investments in researching machine learning and other emerging technologies. Management is betting that a breakthrough in those areas can help the company create the most intelligent enterprise applications that could drive sales and allow it to steal market share from the competition. SAP reported a net profit of 730.0 million euros in 3Q16, compared to 898.0 million euros in the same quarter last year. But revenue rose 8.0% year-over-year to 5.4 billion euros in the latest quarter.

Deep Learning can be overwhelming when new to the subject. Here are some cheats and tips to get you through it. In this article we will go over common concepts found in Deep Learning to help get started on this amazing subject. The gradient is the partial derivative of a function that takes in multiple vectors and outputs a single value (i.e. The gradient tells us which direction to go on the graph to increase our output if we increase our variable input.

Google's not new to the hardware game, but with its "made by" range, the company is making a concerted effort to marry its smart software and the gear we run it on. We've already tried the Pixel phones, Daydream View VR headset, Chromecast Ultra and Google Home, but until now, there was one made by Google gadget we'd yet to test, and it's the one that arguably ties all the rest together: Google's aptly named "WiFi" router. If you're looking for a router that mixes smart design with simple features and solid performance, Google WiFi is a solid choice. However, users who like to get their hands dirty may prefer the control and flexibility of more conventional products. For the rest of us, Google WiFi will likely eliminate some key pain points and provide an easy transition to the connected home. Google WiFi builds on the idea of OnHub.

Google DeepMind, a subsidiary of Alphabet that's focused on making fundamental progress toward general artificial intelligence, is releasing a new 3-D virtual world today, making it available for other researchers to experiment with and modify however they wish. The new platform, called DeepMind Lab, resembles a blockish 3-D first-person shooter computer game. Inside the world, an AI agent takes the form of a floating orb that can perceive its surroundings, move around, and perform simple actions. Agents can be trained to perform various tasks through a form of machine learning that involves receiving positive rewards. Simple example tasks that will come bundled with the platform include navigating a maze, collecting fruit, and traversing narrow passages without falling off.

As the automation of work processes continues apace by means of artificial intelligence, what does this mean for our jobs? Research carried out by McKinsey, analysing around 2,000 individual work activities, suggests that, rather than eliminating jobs altogether, automation will take over discrete tasks and thus redefine current roles – at least in the short term. Here are McKinsey's four fundamentals of workplace automation: Almost half of the activities individuals are paid to perform could be automated using currently available technologies. Narrative Science's artificial intelligence system, Quill, for example, can analyse raw data and write reports in natural language that readers would assume had a human author – all in a matter of seconds. In short, automation is likely to change the vast majority of occupations – at least to some extent.

Thanks to the supercomputer, SMU's food AI project has successfully recognised the 100 most popular dishes in Singapore. The Singapore Management University (SMU) will be using the NVIDIA DGX1 deep learning supercomputer to conduct AI research for Singapore's Smart Nation project. The research will take place at the SMU Living Analytics Research Centre (LARC), which is supported and funded by Singapore's National Research Foundation (NRF). Providing performance that is equivalent to 250 conventional servers, the supercomputer will reduce the time it takes for researchers to train sophisticated deep neural networks. The solution is also built on NVIDIA Tesla P100 GPUs, which utilise the latest Pascal GPU architecture.

Sometimes the biggest gifts arrive in the most surprising ways. A couple in Singapore, Tianqiao Chen and Chrissy Luo, were watching the news and saw a Caltech scientist help a quadriplegic use his thoughts to control a robotic arm so that -- for the first time in more than 10 years -- he could sip a drink unaided. Inspired, Chen and Luo flew to Pasadena to meet the scientist, Richard Andersen, in person. Now they've given Caltech $115 million to shake up the way scientists study the brain in a new research complex. Construction of the Tianqiao and Chrissy Chen Institute for Neuroscience at Caltech will begin as early as 2018 and bring together biology, engineering, chemistry, physics, computer science and the social sciences to tackle brain function in an integrated, comprehensive way, university officials announced Tuesday.

We are approaching the end of another year, and with that comes time for reflection on how far we've come in the last 12 months and speculation about what's ahead. If we look back on the last year in the world of sales and marketing, there's one trend in particular that's sparked notable enthusiasm from B2B marketers: the emergence of Account-Based Marketing (ABM) as a category. In 2016, we saw explosive growth in ABM acceleration and adoption, with more than 70 percent of B2B companies focused on driving ABM programs, according to a recent study by SiriusDecisions. This growth has definitely impacted how marketers structure their tech stacks today. ABM has gone from a "nice to have" marketing tactic to a key solution that marketing departments are actively working to execute within their organizations.

The new platform uses artificial intelligence to help drive the transition from traditional marketing creative to digital-first, mobile video marketing for businesses of all sizes. Magisto for Marketers introduces Intelligent Marketing creative into Magisto's patented artificial intelligence engine – Emotional Sense Technology . This gives marketing professionals the ability to easily create marketing videos for a variety of disciplines including content marketing, product marketing, brand marketing and performance marketing. Magisto's new offering allows marketers to create multiple variations of optimized videos by use case, platform, audience, message, product and ROI performance. The AI technology incorporates easy-to-use editing styles designed for businesses, the ability to add custom branding to clone videos and to direct Magisto's AI to refine messaging and produce multiple A/B test creatives.