What better way to create a movie trailer about an artificially enhanced human than to use the reality behind the premise; artificial intelligence (AI). That's just what a partnership between IBM Research and 20th Century Fox recently set out to do, when they used machine learning techniques to produce what they described as the "first ever cognitive movie trailer." You'll have to judge the merits of the result yourself, but what is beyond doubt is this is just one example of the many ways AI and machine learning techniques are already changing the face of the entertainment industry. It's only makes sense that creative industries are leading the pack when it comes to the adoption of and experimentation with AI. Media, entertainment, and advertising are all the on the cutting edge when it comes to the adoption of AI and machine learning.

When I was a scrawny little chap, shortest in my high school class, I always wanted a super power. Wanted doesn't capture the feeling. I would have given a limb for a super power. I read a lot of books back then (and now) and landed on a super power that had something to do with the brain. I eventually landed on Prof. Xavier of the X-Men.

When I was a scrawny little chap, shortest in my high school class, I always wanted a super power. Wanted doesn't capture the feeling. I would have given a limb for a super power. I read a lot of books back then (and now) and landed on a super power that had something to do with the brain. I eventually landed on Prof. Xavier of the X-Men.

Look, as much as someone might want to be the next big best-selling author or pop music hit-maker, not everyone can be a flourishing artist. For those who want to know how creative types perfect their crafts and find success, podcasts offer an opportunity to listen to behind-the-scenes accounts of everything that went into some of the best stories and songs around. And for those who want to move beyond the storytellers they already love, there are podcasts out there for learning about creative processes that are a little harder to understand: using séances to inspire abstract paintings, and people who do their everyday jobs as beauticians, dominatrixes, and barbers like they're making art.

In the move toward automation, machine-learning and predictive analytics, many are seeing dark times ahead for the human component of the IT workforce. Others, however, are seeing it as a time for the IT workers to become more powerful than ever before. At the HPE Discover EU event in London, Dana Gardner, president and principal analyst at Interarbor Solutions LLC, and Paul Teich, principal analyst at TIRIAS Research, sat down with Dave Vellante (@dvellante) and Paul Gillin (@pgillin), co-hosts of theCUBE*, from the SiliconANGLE Media team, to talk about the changing state of tech in a variety of areas. In the initial consideration, Teich felt that HPE had been doing "a credible job at trying to simplify their message" and "creating a set of overarching themes for … a bag of parts. They're a huge company; they have a very extensive portfolio. What we haven't seen in previous years is what ties that all together. Trying to be everything to everyone has its limits," he noted.

For years, Christoph Niemann spent every Sunday conducting a drawing experiment. The artist, whose illustrations have appeared in dozens of publications, including WIRED, would sit down with a blank piece of paper and a random, everyday object. He never knew what he was going to draw--only that his drawing would include whatever object was in front of him. And so he would turn pennies into scoops of ice cream. Niemann devised hundreds of these visual puns, and now he's collected them--along with more work from his career--in his new monograph, Sunday Sketching.

The key element which separates today's artificial intelligence (AI) systems and what we consider to be human thought and learning processes could be boiled down to no more than an algorithm. That's according to a recent paper published in the journal Frontiers in Systems Neuroscience, which suggests that despite the complexity of the human brain, an algorithm may be all it takes for our technological creations to mimic our way of thinking. As reported by Business Insider, the idea that human thought can be whittled down to an algorithm lies in the "Theory of Connectivity," which proposes that human intelligence is rooted in "a power-of-two-based permutation logic (N 2i-1)" algorithm, capable of producing perceptions, memories, generalized knowledge and flexible actions, according to the paper. First proposed in 2015, the theory suggests that how we acquire and process knowledge can be explained by how different neurons interact and align in separate areas of the brain. It may also be that our brain power is based on "a relatively simple mathematical logic," according to Dr. Joe Tsien, neuroscientist at the Medical College of Georgia at Augusta University and author of the paper.

A simple algorithm could explain the inner workings of human intelligence, and it could one day be encoded into artificial intelligence (AI) systems, researchers suggest. It's a mind-bending idea: that all the complex thoughts running through our heads are the product of a set of definable sums. But scientists have identified clear patterns in the brains of mice and hamsters, and if a similar phenomenon could be found in human brains, it could form the basis of such an algorithm for intelligence. "Many people have long speculated that there has to be a basic design principle from which intelligence originates and the brain evolves, like how the double helix of DNA and genetic codes are universal for every organism," says lead researcher Joe Tsien from Augusta University in Georgia. "We present evidence that the brain may operate on an amazingly simple mathematical logic."

In July 2013, an up-and-coming artist had an exhibition at the Galerie Oberkampf in Paris. It lasted for a week, was attended by the public, received press coverage, and featured works produced over a number of years, including some created on the spot in the gallery. Altogether, it was a fairly typical art-world event. The only unusual feature was that the artist in question was a computer program known as "The Painting Fool." Even that was not such a novelty.

The key element which separates today's artificial intelligence (AI) systems and what we consider to be human thought and learning processes could be boiled down to no more than an algorithm. That's according to a recent paper published in the journal Frontiers in Systems Neuroscience, which suggests that despite the complexity of the human brain, an algorithm may be all it takes for our technological creations to mimic our way of thinking. As reported by Business Insider, the idea that human thought can be whittled down to an algorithm lies in the "Theory of Connectivity," which proposes that human intelligence is rooted in "a power-of-two-based permutation logic (N 2i-1)" algorithm, capable of producing perceptions, memories, generalized knowledge and flexible actions, according to the paper. First proposed in 2015, the theory suggests that how we acquire and process knowledge can be explained by how different neurons interact and align in separate areas of the brain. It may also be that our brain power is based on "a relatively simple mathematical logic," according to Dr. Joe Tsien, neuroscientist at the Medical College of Georgia at Augusta University and author of the paper. The logic proposed, N 2i-1, relates to how groups of similar neurons come together to handle tasks such as recognizing food, shelter, and threats.