Erik Mueller is Director of Intelligent Assistants at Capital One. He won the AAAI Feigenbaum Prize with the Watson Team. He has ten patents on artificial intelligence and is the author of four books in the field. He holds a Ph.D. and M.S. in computer science from UCLA and an S.B. in computer science from MIT.

Memory fills the gaps in information that even todays best AI algorithms can't Google's DeepMind artificial intelligence lab does more than just develop computer programs capable of beating the world's best human players in the ancient game of Go. The DeepMind unit has also been working on the next generation of deep learning software that combines the ability to recognize data patterns with the memory required to decipher more complex relationships within the data. Now, it's at this point where when we say "memory" you might think that we're referring to the type of RAM or some other form of hardware computer memory you stick into servers, but no. After all, say for example we asked you to predict an outcome then it's likely that not only will you draw on the information you have on hand at the time but you'll also – consciously or sub-consciously – draw on past memories that, when accessed and interpreted correctly, will help you create a better, more informed answer – or opinion. It's this "human" type memory – this "external" memory as researchers call it – that we're increasingly seeing being used to augment today's most advanced deep learning AI's – such as DeepMind. Deep learning is the latest buzz word for artificial intelligence algorithms called neural networks that can learn over time by filtering huge amounts of relevant data through many "deep" layers.

As CTO, he has the weighty task of making sense of tomorrow's disruptive technologies – today – then enabling Wipro to compete and win in these areas. We met him to hear how his team thinks about the future, and where RPA and AI fit into their roadmap. Wipro is well known for providing technology and outsourcing services. From distant origins in Mumbai in the 1940s, Wipro has grown into a worldwide technology and outsourcing company with over 40 billion in revenue. But it might come as a surprise to many that Wipro filed over 500 patents last year. This is because, like many global service businesses, Wipro is being pushed to help clients innovate: do new things, with new tools and technologies.

On Wednesday, Stephen Hawking spoke at the opening of Cambridge University's new artificial intelligence center, which, in part, will investigate potential problems the technology may pose, reports the Telegraph. In his address, Hawking, a long-time critic of unchecked and poorly considered advances in the area, warned, "The rise of powerful AI will be either the best, or the worst thing, ever to happen to humanity." SEE ALSO: Stephen Hawking: 'Human race has no future' without space travel He indicated that while it may, "finally eradicate disease and poverty," it could, "also bring dangers, like powerful autonomous weapons, or new ways for the few to oppress the many." Further, said Hawking, "...in the future, AI could develop a will of its own -– a will that is in conflict with ours." The astrophysicist applauded the establishment of the Cambridge AI center, noting, "We spend a great deal of time studying history, which, let's face it, is mostly the history of stupidity ... so it is a welcome change that people are studying instead the future of intelligence."

Getting started using the SDK is quite easy: you can either use Node.js or .NET (this is Microsoft after all), or work exclusively through a REST-based API. Forced to say goodbye to my beloved Python, I went for the Node.js Disregarding the formatting, the code contains four lines in total: the first imports the BotBuilder package, the second allows you to use the console to interact with the bot, the third instantiates the bot itself and the last line contains the dialog info. I'll be using a slightly more advanced version allowing me to use the Bot Framework Emulator to interact with the Chatbot. Let's give it a try.

The real value of machine learning comes from its ability to create predictive models which can guide an organization's future actions and discover never seen before patterns. Take the online advertising industry. The conventional tools provide advertisers with the ability to set budgets and channels to target. But with historical data of previous auctions, it is possible to create projections for future ad campaigns so that advertisers may increase revenues while optimizing cost. Even a cent saved through machine learning can bring about millions of dollars in savings on an annual basis.

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Did you know that the origin of the term "red tape" comes from red ribbons used to tie up oodles of legal documents? I learned it in Brian O'Keefe's masterful explication of the pesky problem of red tape, which appears on the cover of the just-out issue of Fortune. This is one of the articles we now refer to as "longform." It can't be summarized in a tweet, or even an essay topping a daily newsletter about the technology industry. What I can tell you briefly is that the problem is more persistent than you think.

After 23 years in office, the notorious Maricopa County Sheriff Joe Arpaio (R) might not win re-election. The latest Arizona Republic/Morrison/Cronkite News poll of the Arizona county sheriff's race shows Arpaio nearly 15 points behind Democrat Paul Penzone, 45.9 percent to 31.1 percent. Arpaio, who calls himself "America's toughest sheriff," made national headlines last year when he spoke out in favor of Donald Trump and joined him in the mission to "seek the truth" about President Obama's birth certificate. Arpaio's massive slip is likely due -- at least in part -- to voters' widespread opposition to building a border wall and deporting all undocumented immigrants, both proposals Arpaio supports. The poll found that 30.8 percent of the county's voters strongly disagree with mass deportation, while 41.7 percent disagree.

There are a few moments in the history of artificial intelligence (AI) that are considered major breakthroughs – events that showed the power of machine intelligence in matching or surpassing human performance. Two examples are Deep Blue versus Kasparov in 1997 and Watson versus Jennings in 2008. Most recently, AlphaGo versus Lee Sedol became another major victory, this time driven by a fast developing field known as "deep learning." Deep learning–a machine learning technique based on artificial neural networks–is growing in popularity due to a series of developments in the science and business of data mining. Prior to AlphaGo's victory over the currently best Go player Lee Sedol, computer programs that played Go had only been able to beat average players.