GE Digital today announced that it has acquired Wise.io, a machine-learning powered service that helps businesses find patterns and trends in their vast data stores. At first glance, that may seem like an odd acquisition for a company like GE. It's important to keep in mind, though, that with Predix, GE already offers its customers a service that focuses on helping them monitor their equipment, whether that's an industrial tool or an aircraft engine, and predict issues based on the monitoring data. As GE CIO Jim Fowler told me, the company's developers wrote a few hundred different models for lots of different assets in Predix. The service has some rudimentary AI capabilities, but the addition of Wise.io's technology -- which can find patterns on its own -- and its team will allow GE to offer a far more flexible model.

SALT LAKE CITY, UT--(Marketwired - Nov 14, 2016) - SC16 -- To help companies join the AI revolution, NVIDIA today announced a collaboration with Microsoft to accelerate AI in the enterprise. Using the first purpose-built enterprise AI framework optimized to run on NVIDIA Tesla GPUs in Microsoft Azure or on-premises, enterprises now have an AI platform that spans from their data center to Microsoft's cloud. "Every industry has awoken to the potential of AI," said Jen-Hsun Huang, founder and chief executive officer, NVIDIA. "We've worked with Microsoft to create a lightning-fast AI platform that is available from on-premises with our DGX-1 supercomputer to the Microsoft Azure cloud. With Microsoft's global reach, every company around the world can now tap the power of AI to transform their business."

SEATTLE General Electric said on Tuesday it has acquired two tech startups to build its artificial intelligence capability, a move that helps it compete with IBM's Watson product.GE said the acquisitions of Bit Stew Systems and Wise.io will expand its Predix platform for industrial internet applications, which connects big machines such as power plants...

The brain is often said to be like a computer. Now it turns out that we store memories of famous people in a similar way to Google. Our hippocampi – two small, curved brain structures towards the sides of our head – are crucial for memory. Studies have found that people with damage in these areas can no longer make memories of new events. By studying people who had recording electrodes put into their hippocampi, Rodrigo Quian Quiroga at the University of Leicester, UK, previously found that some neurons in these areas fire only when we see particular celebrities or people we recognise.

Microsoft isn't the only big-name tech company using AI to fight cancer. NVIDIA is partnering with the US Department of Energy and the National Cancer Institute to develop CANDLE (Cancer Distributed Learning Environment), an AI-based "common discovery platform" that aims for 10 times faster cancer research on modern supercomputers with graphics processors. The hardware promises to rapidly accelerate neural networks that can both spot crucial data and speed up simulations. CANDLE will tackle three core problems. It'll sift through genomic data to find the genetic signatures in cancer DNA and RNA that predict their response to treatments. The AI will also automatically extract and study "millions" of patient records to understand how cancer spreads and reoccurs, and accelerate the simulation of protein interactions to see how they create the conditions for cancer.

Most of the talks will be given by well-known invited speakers. However, we would also like to give students and startups an opportunity to present their work and research. It will be realized in the form of short lightning talks. Each speaker will get a free ticket to the conference. If you are interested in becoming a lightning speaker, please send us a short paper (less than 1000 words) describing your machine learning project.

"Algorithm" might be one of the most popular terms that almost no one understands. Not many people have PhDs in data science, and even those experts don't always know what's happening. "It's not clear even from a technical perspective that every aspect of AI algorithms can be understood by humans," says Guruduth Banavar, IBM's chief science officer for cognitive computing, which is what IBM calls AI. Artificial intelligence is making decisions by reviewing people's medical tests in hospitals, credit histories in banking, job applications in some HR systems, even criminal risk factors in the justice system. Yet it's not always clear how the computers are thinking.

My name is Peter Chen and I am the instructor for this course. I want to introduce you to the wonderful world of Machine Learning through practical examples and code. The course will cover Supervised Learning algorithms and models in machine learning. More importantly, it will get you up and running quickly with a practical and at times funny applications of Supervised Learning algorithms. The course has code & sample data for you to run and learn from.

'Siri, catch market cheats': Wall Street watchdogs turn to A.I. NEW YORK (Reuters) - Artificial intelligence programs have beaten chess masters and TV quiz show champions. Two exchange operators have announced plans to launch artificial intelligence tools for market surveillance in the coming months and officials at a Wall Street regulator tell Reuters they are not far behind. Executives are hoping computers with humanoid wit can help mere mortals catch misbehavior more quickly. The software could, for instance, scrub chat-room messages to detect dubious bragging or back slapping around the time of a big trade. It could also more quickly unravel complex issues, like "layering," where orders are rapidly sent to exchanges and then canceled to artificially move a stock price.

H2O.ai Melds Machine Learning with Spark, Via Sparkling Water 2.0 by - Jul. 01, 2016 The Renaissance Continues for Open Source Artificial Intelligence Baidu Delivers a Hardened Open Source Deep Learning Tool Google Launches a Slew of Open Source Parsers, to Work with 40 Languages IBM's Massive Spark Initiatives Include an Offering for Data Scientists Google's Custom Chip Can Accelerate Machine Learning Jobs In recent interviews here on OStatic, found here and here, we have explored the efforts of H2O.ai, formerly known as Oxdata, which has steadily been carving out a niche with its open source software for big data analysis and machine learning. You can get the main H2O platform and Sparkling Water, a package that works with Apache Spark, by simply downloading them. You can run them on clusters powered by Amazon Web Services (AWS) and others for just a few hundred dollars, putting powerful artificial intelligence muscle in reach of everyone. Now, H2O.ai has announced the availability of Sparkling Water 2.0. Sparkling Water 2.0 builds off the popularity of Sparkling Water, H2O.ai's API for Apache Spark, with additional features and functionality.