Developing robust quantitative trading strategies is an intensive, rigorous, time-consuming process with no guarantee for success. In this webinar, you will learn how to apply techniques from the Artificial Intelligence and machine learning fields to improve the quantitative strategy development process and maximize your chances of success with every strategy. Attendees will learn practical applications that they can apply to their own trading and will come away with a strategy they can actually trade live. Attendees should have a basic understanding of quantitative and algorithmic trading. No programming experience is required.

What an utterly interesting time to be alive. We all remember how Deep Blue defeated Kasparov. Chess became a'solved problem' pretty soon after that historic event. And in the past week, we have witnessed an even more amazing feat: AlphaGo beating world-class Go player Lee Sedol. The game that knows more positions than there are atoms in the universe was no match for Google's DeepMind team. It's fascinating to see how a game with relatively simple rules can lead to such complex and strategic gameplay.

Artificial intelligence isn't an industry so much as a technology poised to transform business across a wide variety of sectors--and probably more than you think. During a panel discussion Tuesday at the Las Vegas tech trade show CES, a group of A.I. experts talked about which industries are the most ripe for adoption and application of A.I., and why entrepreneurs and consumers alike stand to benefit significantly from the technology. The number one industry set be transformed by A.I. appears to be healthcare, with 400 million invested by health care companies in the technology as of last year, a figure that's projected to grow to 3 billion or more by 2020, according to data from the Beacon Center for the Study of Evolution in Action. The retail industry is close behind, with 100 million invested as of 2015, expected to reach 1.9 billion by 2020. Panelists pointed to manufacturing, financial services and government as the three followers to healthcare and retail.

Inbox by Gmail has a few useful features but probably the most interesting is Smart Reply, which was expanded to the desktop this week. As impressive as the A.I.-powered suggestions for replies to your emails are, they're just not very useful yet. Sure, Smart Replies tend to offer relevant options, but they're not very useful in most real-world cases. Open an invitation to party and you might get'Sounds good!,' 'Can't wait,' and Sorry, I can't be there!' as the suggestions. By the time I've added'Hi Bob,' and a few other bits of personalization, I might as well have written the whole thing myself.

The Go contest between Lee Sedol and AlphaGo, Google DeepMind's Go-playing computer program, was broadcast across South Korea. Scrambling to respond to the success of Google DeepMind's world-beating Go program AlphaGo, South Korea announced on 17 March that it would invest 863 million (1 trillion won) in artificial-intelligence (AI) research over the next five years. It is not immediately clear whether the cash represents new funding, or had been previously allocated to AI efforts. But it does include the founding of a high-profile, public–private research centre with participation from several Korean conglomerates, including Samsung, LG Electronics and Hyundai Motor, as well as the technology firm Naver, based near Seoul. "Thanks to the'AlphaGo shock', we have learned the importance of AI before it is too late" The timing of the announcement indicates the impact in South Korea of AlphaGo, which two days earlier wrapped up a 4–1 victory over grandmaster Lee Sedol in an exhibition match in Seoul.

Artificial intelligence researchers at Google DeepMind are celebrating after reaching a major breakthrough that's been pursued for more than 20 years: The team taught a computer program the ancient game of Go, which has long been considered the most challenging game for an an artificial intelligence to learn. Not only can the team's program play Go, it's actually very good at it. The computer program AlphaGo was developed by Google DeepMind specifically with the task of beating professional human players in the ancient game. The group challenged the three-time European Go Champion Fan Hui to a series of matches, and for the first time ever, the software was able to beat a professional player in all five of the games played on a full-sized board. The team announced the breakthrough in a Nature article published today.

My interest for DeepMind goes back to its acquisition by Google, in January 2014, for about half a billion dollars. Later in California, I had conversations with Artificial Intelligence and deep learning experts; they said Google had in fact captured about half of the world's best A.I. minds, snatching several years of Stanford A.I. classes, and paying top dollar for talent. Acquiring London startup Deep Mind was a key move in a strategy aimed at cornering the A.I. field. My interlocutors at Google and Stanford told me it could lead to major new iterations of the company, with A.I. percolating in every branch of Google (now Alphabet), from improving search to better YouTube recommendations, to more advanced projects such as predictive health care or automated transportation.

When it comes to communication, humans are hugely sensitive to each other's emotional states. Indeed, most people expect their emotional state to be taken into account by their correspondents. And when this happens, communication tends to be more effective. So if computers are ever to interact effectively with humans, they will need some way of repeating this trick and assessing the emotional state of their interlocutors. Understanding whether an individual has a positive or negative state of mind could make a huge difference to the quality of response that a computer might give.

OutsideIQ develops innovative artificial intelligence solutions that use big data to address complex risk-based questions and problems. ABC and FCPA policies require corporations to uphold proper compliance processes. OutsideIQ provides a fully auditable and sourced due diligence report, allowing corporations to operate without additional changes to their infrastructure. We are occupying a world where data is more than a commodity, it is becoming a currency, providing real value to companies who can efficiently extract data to gain a competitive advantage over their competitors and make better decisions. Over the years, big data technology has been in a revolution, developing new ways to find value in data.

We hear about AI taking over our jobs. We hear about AI listening in on our conversations. We hear about AI becoming a substitute for our romantic partners. Here's what the real AI experts Guru Banavar, (IBM), Toby Walsh, (The University of New South Wales), and Roman Yampolskiy (University of Louisville), say about the subject, and why a lot of what you think you know is probably wrong. Humans 2.0: How the robot revolution is going to change how we see, feel, and talk Robots aren't going to replace us, but by working hand in hand with us they will redefine what it means to be human.