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Artificial intelligence has an unimaginable potential. Within the next couple of years, it will revolutionize every area of our life, including medicine. I am fully convinced that it will redesign healthcare completely – and for the better. Let's take a look at the promising solutions it offers. There are various thought leaders who believe that we are experiencing the Fourth Industrial Revolution, which is characterized by a range of new technologies that are fusing the physical, digital and biological worlds, impacting all disciplines, economies and industries, and even challenging ideas about what it means to be human.

Today, when Intel announced a new generation of Xeon Phi server chips, the emphasis was on their ability to handle A.I. Of all those servers, 7 percent were handling deep learning, while 95 percent were doing machine learning, she said. Of servers doing machine learning or deep learning, "the vast, vast majority of workloads are machine learning. They offer "advanced acceleration capabilities" for workloads like Google's TensorFlow deep learning framework, Google has said.

With the boom in AI affecting virtually every industry, there has been an explosion in the research and development of machine learning, a subfield of AI. And, perhaps, no company better illustrates what machine learning is capable of than Google's DeepMind. Founded in London in 2010 by Demis Hassabis, Shane Legg, and Mustafa Suleyman, DeepMind has developed machine learning systems that uses deep neural networks, reinforcement learning, and systems neuroscience-inspired models. The startup was purchased in January 2014 by Google for a rreported 400 million, with Hassabis remaining CEO of DeepMind. Instead of relying on explicit programming, DeepMind applies general-purpose learning algorithms to a large data set in order to "train" the system and make predictions.

If you passed high school math and can hack around in Python, I want to teach you Deep Learning. Well folks, I've decided to write a Deep Learning book in the same style as my blog, teaching Deep Learning from an intuitive perspective, all in Python, using only numpy. I wanted to make the lowest possible barrier to entry to learn Deep Learning. The Problem with most entry level Deep Learning resources these days is that they either assume advanced knowledge of Calculus, Linear Algebra, Differential Equations, and perhaps even Convex Optimization, or they just teach a "black box" framework like Torch, Keras, or TensorFlow (where you just hit "train" but you don't actually know what's going on under the hood). Both have their appropriate audience, but I don't believe that either are appropriate for your average python hacker looking for a 101 on the fundamentals.

Learn from OpenAI CTO Greg Brockman on how NVIDIA DGX-1 has the power to create impactful AI technologies and achieve unimaginable breakthroughs.

Remember the horror movie The Fly, in which a brilliant scientist comes up with an groundbreaking technology -- only for his good intentions to head south when he accidentally gets genetically spliced with a housefly, turning him into a hideous monster? That's kind of the vibe we get hearing about a project that aims to teach an AI to hold a polite conversation by feeding it message threads from Reddit. Nonetheless, that's the working theory held by researchers at OpenAI, the nonprofit Artificial Intelligence company backed by Silicon Valley heavy-hitters like Elon Musk, which lists its mission as "to build safe AI, and ensure AI's benefits are as widely and evenly distributed as possible." All kidding aside, the impressive-sounding project focuses on creating a deep learning neural network able to build up a "probabilistic understanding" of conversation, and maybe even construct enough of a language model to be able to communicate itself. To help with this, OpenAI is employing a DGX-1 supercomputer developed by Nvidia.

It may not spring to mind as the first place you would turn to develop the art of conversation, but an AI firm backed by Elon Musk is hoping Reddit will help it's machine learn to converse. The OpenAI project is using a supercomputer known as a DGX-1 for its experiment, feeding popular Reddit threads to the AI for analysis, in the hope it will one day hold a conversation itself. However, the project follows a similar idea from Microsoft – which has to pull its learning chatbot after it began posting racist and offensive messages after just hours. OpenAI will feed popular Reddit threads to algorithms that have a probabilistic understanding of dialogue with the hopes it will one day hold a conversation itself. By feeding Reddit threads to DGX-1, it will hopefully read and learn a range of conversations faster than any other system has done before it, as conversations are filled with natural human language and commonly used slang.

Elon Musk's artificial intelligence (AI) company OpenAI just received a package that took 2 billion to develop: NVIDIA CEO Jen-Hsun Huang just delivered the first DGX-1 supercomputer to the non-profit organization, which is dedicated to "advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return." The "AI supercomputer in a box" is packed with 170 teraflops of computing power--that's equivalent to 250 conventional servers. NVIDIA says it's a very fitting match: "The world's leading non-profit artificial intelligence research team needs the world's fastest AI system." "I thought it was incredibly appropriate that the world's first supercomputer dedicated to artificial intelligence would go to the laboratory that was dedicated to open artificial intelligence," Huang added. The supercomputer will tackle the most difficult challenges facing the artificial intelligence industy…by reading through Reddit forums.

Intel practically owns the business of selling chips for data center servers. IDC pegs its share of the market at 99%. But Intel doesn't have such a strong grip on the latest, and hottest, slice of the market: artificial intelligence. It faces stiff competition from graphics chip expert Nvidia, whose graphics cards are currently the most popular for powering deep learning neural networks that perform mainstay artificial intelligence tasks like image recognition, voice recognition and natural language processing. Hoping to push back against Nvidia's inroads, Intel announced on Wednesday a new server processor tailored for artificial intelligence, the third-generation Xeon Phi, code-named "Knights Mill."