Artificial intelligence (AI) promises to revolutionise our lives, drive our cars, diagnose our health problems, and lead us into a new future where thinking machines do things that we're yet to imagine. Even billionaire entrepreneur Elon Musk, who admits he has access to some of the most cutting-edge AI, said recently that without some regulation "AI is a fundamental risk to the existence of human civilization". So what is the future of AI? Michael Milford and Peter Stratton are both heavily involved in AI research and they have different views on how it will impact on our lives in the future. How widespread is artificial intelligence today? Answering this question depends on what you consider to be "artificial intelligence".

On today's show, Kevin Kelly talks on how AI technology will shape organizations and why leaders need to adapt to company teaching mentality. Kevin Kelly is the Senior Maverick at Wired Magazine, co-founded Wired in 1993 and served as its Executive Editor for the first seven years. His new book is called The Inevitable, where he discusses the 12 technological forces that will change our future. Welcome to the Innovation Ecosystem, with me today is Kevin Kelly to talk about How AI technology will shape future organizations. Kevin, I have to say when we planned this program, you were the first person that I wanted onto this show. So, I'm really pleased that we managed to find some time in your calendar, and thank you very much for making that time. So, Kevin, you described your work as packaging ideas into books, websites, and making them interesting and pretty. Before we get into your new book, The Inevitable, which is about AI technology, can you give our listeners a sense of your back story? Yeah, I was a science nerd in high school, but also interested in photography, and the arts. Couldn't decide whether to go to art school or MIT. In the end, I decided to be a college dropout, and instead because I read the Whole Earth catalogue, I was inspired to make my own education, and went to Asia where I awarded myself a graduate degree in Asian studies by roaming around for eight years mostly photographing the disappearing traditions of Asia. I also caught a really bad dose of optimism in Asia because right before my eyes I saw people lifting themselves out of poverty very, very quickly, and becoming, from some of the poorest nations of the Earth, to some of the richest ones. This was in the 70s? This was in the 70s, right exactly. So, I came back in the 80s, and I was writing about travel because that was something I knew about. I got myself invited onto the earliest experimental online systems in the very early 80s, 1981, or something. I was reporting on it as if it was a new foreign country, like a travel reporter, and I saw something for the first time, which was high technology that was very human and organic.

The Impact of AI and Machine Learning on our Jobs Over the past year there have been an increasing number of articles written about jobs that can be done by a machine versus a person. I tend to be pretty optimistic about the future, but I don't believe anyone can know how the nature of jobs will be transformed as automation is introduced into various aspects of life. Here's an article from Fast Company that appeared 3 1/2 years ago about the changes coming from machine learning and artificial intelligence technologies. I don't think it's aged well. Here are three things it listed: 1) Unstructured problem-solving: solving for problems in which the rules do not currently exist.

South Korean professional Go player Lee Sedol is seen on the screen during the Google DeepMind Challenge Match against Google's artificial intelligence program, AlphaGo, in Seoul, South Korea, March 9, 2016. Lee Sedol lost the first match. LOS ANGELES, July 27 (Xinhua) -- The war between tech titans has begun. Some are worried about what artificial intelligence (AI) will mean for humanity, calling for slowing down the process of building it, while others are pretty optimistic. For years, Elon Musk, CEO of Tesla and SpaceX, has been famous for his skeptical attitude towards AI and suggested it could be dangerous to the future of the human race.

Google's next iPhone killer, the Pixel XL has been revealed in a new series of renders. The images, created by @onleaks and MySmartPrice, show the handset's new look, and most notably, its lack of a headphone socket. Previous leaked have also claimed it may also have a hidden feature - squeezable edges. The images, created by @onleaks and MySmartPrice, show the handset's new look, and most notably, its lack of a headphone socket. 'The phones feature considerably less bezel compared to the Pixel and the Pixel XL, said mysmartprice.com

Much has been made of the "food boom" in Pittsburgh, and the city has long had a thriving arts scene. But perhaps the secret, underlying driver for both the economy and the cool factor -- the reason Pittsburgh now gets mentioned alongside Brooklyn and Portland, Ore., as an urban hot spot for millennials -- isn't chefs or artists but geeks. In a 2014 article in The Pittsburgh Post-Gazette, Mayor Bill Peduto compared Carnegie Mellon, along with the University of Pittsburgh, to the iron ore factories that made this city an industrial power in the 19th century. The schools are the local resource "churning out that talent" from which the city is fueled. Because of the top students and research professors at Carnegie Mellon, tech companies like Apple, Facebook, Google and Uber have opened offices here.

Microsoft researcher Charles P. Thacker, awarded the 2009 ACM A.M. Turing Award in recognition of his pioneering design and realization of the first modern personal computer, and for his contributions to Ethernet and the tablet computer, died Monday, June 12, at the age of 74, after a brief illness. Thacker, born in Pasadena, CA, on Feb. 26, 1943, earned his bachelor of science degree in physics from the University of California, Berkeley (UC Berkeley) in 1967. In 1968, Thacker joined UC Berkeley's "Project Genie" to finance a graduate degree in physics. Instead, he recalled, "I went to work for this computer project," which the Berkeley Time-sharing System, commercialized by Scientific Data Systems as the SDS 940. Thacker joined Butler Lampson (recipient of the 1992 ACM A.M. Turing Award) and others to launch the startup Berkeley Computer Corporation (BCC).

Over the last few years we've seen many companies blindly follow various technology hypes like they're the ultimate answer to making businesses future proof. Artificial intelligence (AI) and machine learning are currently receiving huge attention, but are they really such a game changer? Companies often don't have any idea how disruptive technology, like AI, could impact their customers' experience and business, and they don't have a clear understanding of its potential or its implications. That's why we invited Igor Mikhalev from Firmshift, a data-driven technology development company, to answer a few questions about machine learning and AI. About Igor Mikhalev After leading multiple scientific software development initiatives for industry leaders in knowledge extraction, scientific big data management and publishing, Igor Mikhalev completed his MBA at the University of Amsterdam (Amsterdam Business School).

Alan Turing is often praised as the foremost figure in the historical process that led to the rise of the modern electronic computer. Particular attention has been devoted to the purported connection between a "Universal Turing Machine" (UTM), as introduced in Turing's article of 1936,27 and the design and implementation in the mid-1940s of the first stored-program computers, with particular emphasis on the respective proposals of John von Neumann for the EDVAC30 and of Turing himself for the ACE.26 In some recent accounts, von Neumann's and Turing's proposals (and the machines built on them) are unambiguously described as direct implementations of a UTM, as defined in 1936. "What Turing described in 1936 was not an abstract mathematical notion but a solid three-dimensional machine (containing, as he said, wheels, levers, and paper tape); and the cardinal problem in electronic computing's pioneering years, taken on by both'Proposed Electronic Calculator' and the'First Draft' was just this: How best to build a practical electronic form of the UTM?"9 "[The] essential point of the stored-program computer is that it is built to implement a logical idea, Turing's idea: the universal Turing machine of 1936."18 This statement is of particular interest because, in his authoritative biography21 of Turing (first published 1983), Hodges typically follows a much more nuanced and careful approach to this entire issue. For instance, when referring to a mocking 1936 comment by David Champernowne, a friend of Turing, to the effect that the universal machine would require the Albert Hall to house its construction, Hodges commented that this "was fair comment on Alan's design in'Computable Numbers' for if he had any thoughts of making it a practical proposition they did not show in the paper."21 "Did [Turing] think in terms of constructing a universal machine at this stage? There is not a shred of direct evidence, nor was the design as described in his paper in any way influenced by practical considerations ... My own belief is that the'interest' [in building an actual machine] may have been at the back of his mind all the time after 1936, and quite possibly motivated some of his eagerness to learn about engineering techniques. But as he never said or wrote anything to this effect, the question must be left to tantalize the imagination."21 Discussions of this issue tend to be based on retrospective accounts, sometimes even on hearsay. The most-often quoted one comes from Max Newman, who had been Turing's teacher and mentor back in the early Cambridge days and, later, became a leading figure in the rise of the modern electronic computer, sometimes collaborating with Turing. "The description that [Turing] gave of a'universal' computing machine was entirely theoretical in purpose, but Turing's strong interest in all kinds of practical experiment made him even then interested in the possibility of actually constructing a machine on these lines."6

As companies increasingly turn to artificial intelligence to communicate with customers, make sense of big data and find answers to vexing questions, some say it's time to think about hiring a chief A.I. is going to be really important to some companies – enough to have top officers who will focus on just that," said Steve Chien, head of the artificial intelligence group for NASA's Jet Propulsion Laboratory in Pasadena, Calif. "And beyond that, you'll want every employee thinking about how A.I. Steve Chien is the head of artificial intelligence for NASA's Jet Propulsion Lab. is the chief data officer or the chief analytics officer because they understand how machine learning works."