Data Skeptic takes a different take on how we review data--thanks to some healthy skepticism, listeners come out with unusual information and knowledge. The show alternates between interviews with industry experts, and mini episodes wherein the host explains data science tidbits to his non data scientist wife. The tone of this show is simultaneously intellectual and a bit off beat. It's fun, and easier to follow than highly technical podcasts. If you need a series with nice production quality and clear, friendly radio voices, this may be the one.

IBM Watson, Big Blue's cognitive computing division, announced Tuesday that it was expanding the availability of Watson APIs with three new tools: Tone Analyzer, Emotion Analysis, and Visual Recognition. The announcement was made at IBM's 2016 Interconnect Conference in Las Vegas, Nevada. The APIs will help further developers' abilities to leverage the emotional and visual analysis capabilities that are becoming a foundational piece of cognitive computing. "These latest API enhancements will enable developers to create cognitive solutions that offer expanded capabilities and reflect the different sensory dimensions of the human condition," said IBM Watson vice president and CTO Rob High. In a press release, David Kenny, general manager of IBM Watson, said the Watson updates serve to help the "community create dynamic AI infused apps and services."

PRNewswire gave us insight into the partnership between IBM Watson and the New York Genome Center, at the White House Precision Medicine Initiative Summit. The two have collaborated to produce personalized cancer treatments based on individual variation in genes. IBM and New York Genome Center are creating an open repository of cancer data, consisting of genome sequencing, exome sequencing, and clinical data. The amassed data will be fed into Watson for a precision medicine approach, by suggesting treatment options to clinicians, based on an individuals cancer-causing mutations. The project has three processing stages. First, genetic information from 200 cancer patients will be examined to see how different genome sequencing responds to different treatments.

Clarke told the Mumsnet marketing conference Mumstock that the key to his company remaining competitive against online retailers like Amazon and discounters Aldi and Lidl was to make the shopper experience easier and more convenient - whether in store or online. "The most consistent feedback we get on the store experience is to make life as easy as possible," said Clarke. "Customers want to park easily, get in easily, find everything they want and get out early. "And online, just make the experience easy. Don't deliver things I don't want.

It may seem like humanity has been taking a lot of hits from artificial intelligence lately -- from the AI that recently defeated world champion Lee Sedol in the game of Go, to the AI that consistently beats us on "Jeopardy," to the AI that is currently out-trumping Donald Trump on Twitter. Artificial intelligence can help make humanity better, not just by winning games or driving cars, but also by addressing some of the not-so-great aspects of human nature. In fact, building smarter AI means we're getting smarter ourselves. Take Fan Hui, the European champion who lost five matches of Go earlier this year to the same AI Lee Sedol played against last month. When Fan Hui first played the AlphaGo AI, he was ranked 633rd in the world. Now he is ranked in the 300s.

On one otherwise unremarkable day in May 2013, August de los Reyes fell out of bed and hurt his back. Forty-two years old at the time, he was just six months into his dream job at Microsoft: running design for Xbox and righting a franchise that was drifting due to mission creep. At first, de los Reyes was worried that the fall was serious; he went to the ER and was assured that he was fine. Yet several hospital trips later, he found himself undergoing emergency surgery. His spine had been fractured all along. His spinal cord had been damaged. With breathtaking quickness, he was unable to walk ever again. De los Reyes has the reassuring smile and steady calm of a high-school guidance counselor, and an almost-spiritual attachment to video games. He likes to tell people that the universe is play, and that we all have a moral imperative to play.

Artificial intelligence can be defined as the branch of computer science that deals in machine learning and data science. It's basically the creation of machines that learn not just like humans but rather have the capability to go beyond. In this video, Dennis Mortensen is the founder and CEO of x.ai, a technology startup using artificial intelligence to create free personal assistants, discusses the team's vision to seamlessly schedule meetings and how they're overcoming the challenges in their attempts towards pioneering an unknown industry.

Intelligence TV is a world?class team of dedicated machine learning entrepreneurs, luminaries and scholars -- a cogent growing force of true connoisseurs, innovative organizations and ultra-affluent leaders -- offering state of the art techniques from artificial intelligence to build the best deep learning algorithms: The experienced team at Billionaire Business Enterprises Inc. acts as a seasoned and trustworthy resource. Intelligence TV, in compliance with Executive Order EO: III EX[1-I], has a Jewel status in Billionaire Business Enterprises Inc.'s portfolio. Update: October 2015 -- We are preparing a worldwide PR campaing with major talk show appearances, a feature film and a television documentary. A tribute to Artificial Intelligence (AI) Bringing contributions by scholars recognized as the foremost authorities in AI, Big Data and Deep Learning, exalting ground?breaking Terms of Reference are developed in consultation with the Intelligence TV Stakeholders, the Program Overview Committee and the Service Line Advisory Group.

Are we looking for an algorithm that "If we all die, it would keep trading"? Should we be worried that electronic trading is mushrooming like airplane traffic, while we are not paying that much attention? Today, I'll look for AI pigments of incremental changes in algorithmic trading, first on Wall Street and then outside, in the Fintech startup world. I am not including the HFT space because it is a particular space driven by speed and merits a separate post because of its politically sensitive angle (Michael Lewis's babe). Renaissance Tech and Two Sigma, are probably the most recognizable names in old fashioned quant trading space.

Generator and Discriminator consist of Deconvolutional Network (DNN) and Convolutional Neural Network (CNN). CNN is a neural network which encodes the hundreds of pixels of an image into a vector of small dimensions (z) which is a summary of the image. DNN is a network that learns filters to recover the original image from z. When a real image is given, Discriminator should output 1 or 0 for whether the image was generated from Generator. In the contrast, Generator generates an image from z, which follows a Gaussian Distribution, and tries to figure out the distribution of human images from z.