Yorgos Lanthimos makes enigmatic films that exist in universes all their own. His latest, "The Lobster," is at once cerebral and emotional, an abstracted allegory on power, love and the power of love. His films can also be so cryptic and inscrutable that they remain mysterious even to their maker. Few filmmakers are as reticent to give definitive answers, open to outside interpretations or willing to simply respond to questions with an "I don't know." "Well, what am I going to do, fake it?"

While the human brain is often seen as the ultimate model for robotic intelligence, scientists are also learning plenty from the neurobiological structures and processes of more humble creatures, from fruit flies to rodents. Take the fruit fly – or rather, the maggot that grows up to be a fruit fly. Drosophila fruit fly larvae have fewer than 10 000 neurons – compared to about 100 billion in the human brain. But they display a range of complex orientation and learning behaviours that computational theory does not adequately explain at present. By studying how the larvae change their response to stimuli such as smells when these are associated with reward or punishment, the EU-funded MINIMAL project aims to unpick the exact mechanism underlying learning processes.

In what ways could NLG be used in healthcare? What will NLG mean for patients? NLG can be used to empower patients, so that they understand their medical conditions and can make better choices about their healthcare. NLG can also help patients do a better job of looking after themselves: this includes lifestyle changes, self-management of chronic conditions, and complying with treatment regimes. For example, many diabetics have sensors which measure blood sugar levels, but they struggle to use this information to manage their diabetes because often they don't understand it, and can overreact and indeed panic when they see their blood sugar change.

The annual March Machine Learning Mania competition sponsored by SAP challenged Kagglers to predict the outcomes of every possible match-up in the 2016 men's NCAA basketball tournament. Nearly 600 teams competed, but only the first place forecasts were robust enough against upsets to top this year's bracket. In this blog post, Miguel Alomar describes how calculating the offensive and defensive efficiency played into his winning strategy. I earned a Master's Degree in Computer Science from UIB in Mallorca, Spain. For nearly 20 years, I have been involved in software development, business intelligence and data warehousing.

How did you become interested in artificial intelligence (AI)? I am a documentary filmmaker, writer and speaker. I was making a film around 15 years ago about AI and got to speak to some of the major players in the field, including Ray Kurzweil, the Director of Engineering at Google who started the singularity industry, and Rodney Brookes, the premier roboticist of our time who founded iRobot (a company that created the Roomba vaccum cleaner and robots for military use) and then established a company called Rethink Robotics. Both Kurzweil and Brookes were optimistic about the time when we will share the planet with smarter-than-human machines – and I was too. I was, and still am, a gigantic proponent of AI, despite my book's title Our Final Invention: Artificial Intelligence and the End of the Human Era.

That's where hallucinations, reflexes, Post Traumatic Stress, Phobias, and most importantly, dreams come from. You are right, the mind doesn't deal with much external data. Sense organs are all processed elsewhere, however, some sections of processing overlap, autonomic vs. reflex, etc. The conscious portion of human beings is very tiny compared with all the subconscious and unconscious/automatic processes going on.

Update: readers of the post have also pointed out this critique by Ernest Davis and this response to Davis by Rob Bensinger. Update 2: Both Rob Bensinger and Michael Tetelman rightly pointed out that my intelligence definition was sloppily defined. I've added a clarification that the defintion is'for a given task'. This post is a discussion of Nick Bostrom's book "Superintelligence". The book has had an effect on the thinking of many of the world's thought leaders. In that light, and given this series of blog posts is about the "Future of AI", it seemed important to read the book and discuss his ideas. In an ideal world, this post would certainly have contained more summaries of the books arguments and perhaps a later update will improve on that aspect. For the moment the review focuses on counter-arguments and perceived omissions (the post already got too long with just covering those). Bostrom considers various routes we have to forming intelligent machines and what the possible outcomes might be from developing such technologies. He is a professor of philosophy but has an impressive array of background degrees in areas such as mathematics, logic, philosophy and computational neuroscience. So let's start at the beginning and put the book in context by trying to understand what is meant by the term "superintelligence" In common with many contributions to the debate on artificial intelligence, Bostrom never defines what he means by intelligence. Obviously, this can be problematic. On the other hand, superintelligence is defined as outperforming humans in every intelligent capability that they express.

Joi Ito/Flickr (CC)/Index VenturesSaul Klein (left) and Robin Klein (right.) Saul and Robin Klein are a father and son team who have invested in some of Europe's biggest technology startups. Saul Klein also cofounded LoveFilm and startup accelerator Seedcamp, and was one of Skype's original executives. Now the pair are joining forces for their own venture capital fund: LocalGlobe, which they say will invest in startups at the seed stage across Europe. So far the fund has announced investments in online mortgage advisor Trussle and also Estonian job search app Jobbatical. Business Insider met with the Kleins at LocalGlobe's office in London to talk about Europe's technology potential, whether we're in a tech bubble, overvalued startups, artificial intelligence and Brexit. Robin Klein: The number of new companies being formed just keeps growing and growing and growing. We think seed capital of a kind that we provide is just fundamental to this ecosystem. It's what we've done for years, it's what we think we know, what we think we're good at. But it's never going to meet the aspirations of thousands of founders who are creating great companies. Saul Klein: On the UK/Europe side, as my Dad said, we've both been involved in the industry now for [a long time.] I started doing this in October 1993, so well over 20 years since we put The Telegraph online. You add innovations, the first e-commerce transaction in the UK was 1995. I then went off to the US and spent 1995 to 2002 in the US so I saw the US bubble burst. I didn't see the UK bubble burst. But we did invest in about eight companies at the time, including lastminute.com. In the US when we saw the bubble burst there, our fortunate seed investment in the US was a company called Pyro Labs which was Blogger which got sold to Google before the IPO. The bottom line is that we've both lived and worked through at least three or four very significant cycles where things have been amazing then things have been terrible and'no tech company will ever get funded again,' 'no company will ever go public.' 'Everyone's crazy, what are they're thinking?' 'This whole internet thing is just these stupid kids.' 'It's going to go away.' We've seen here in Europe and in the US these very, very significant cycles where the sentiment, whether it's media sentiment, investor sentiment, public market sentiment, corporate sentiment, [they] have all gone through massive crashes.

Lynda Carter, best known for her portrayal of the original Wonder Woman, will be presented with a lifetime achievement award at the 41st annual Gracie Awards Gala, Variety has learned. The Gracie Awards recognize programming created by, for and about women in all media. Carter starred as the titular female superhero in "Wonder Woman," an adventure-drama series that ran on ABC and later CBS from 1975-1979. In the 2000s she guest starred on TV shows including "Law & Order," "Law & Order: SVU," "Smallville" and "Two and a Half Men." The actress also appeared in the 2005 movie reboot of "Dukes of Hazzard" alongside Johnny Knoxville and Jessica Simpson, and she later lent her voice to video games such as "The Elder Scrolls" series and "Fallout 4." Aside from acting, Carter devoted herself to singing, beauty pageants and charity work.

This post is a discussion of Nick Bostrom's book "Superintelligence". The book has had an effect on the thinking of many of the world's thought leaders. In that light, and given this series of blog posts is about the "Future of AI", it seemed important to read the book and discuss his ideas. In an ideal world, this post would certainly have contained more summaries of the books arguments and perhaps a later update will improve on that aspect. For the moment the review focuses on counter-arguments and perceived omissions (the post already got too long with just covering those). Bostrom considers various routes we have to forming intelligent machines and what the possible outcomes might be from developing such technologies. He is a professor of philosophy but has an impressive array of background degrees in areas such as mathematics, logic, philosophy and computational neuroscience. So let's start at the beginning and put the book in context by trying to understand what is meant by the term "superintelligence" In common with many contributions to the debate on artificial intelligence, Bostrom never defines what he means by intelligence. Obviously, this can be problematic. On the other hand, superintelligence is defined as outperforming humans in every intelligent capability that they express. Personally, I've developed the following definition of intelligence: "Use of information to take decisions which save energy". Here by information I might mean data or facts or rules, and by saving energy I mean saving'free' energy.1 However, accepting Bostrom's lack of definition of intelligence (and perhaps taking note of my own), we can still consider the routes to superintelligence Bostrom proposes.