Intelligence TV is a world?class team of dedicated machine learning entrepreneurs, luminaries and scholars -- a cogent growing force of true connoisseurs, innovative organizations and ultra-affluent leaders -- offering state of the art techniques from artificial intelligence to build the best deep learning algorithms: The experienced team at Billionaire Business Enterprises Inc. acts as a seasoned and trustworthy resource. Intelligence TV, in compliance with Executive Order EO: III EX[1-I], has a Jewel status in Billionaire Business Enterprises Inc.'s portfolio. Update: October 2015 -- We are preparing a worldwide PR campaing with major talk show appearances, a feature film and a television documentary. A tribute to Artificial Intelligence (AI) Bringing contributions by scholars recognized as the foremost authorities in AI, Big Data and Deep Learning, exalting ground?breaking Terms of Reference are developed in consultation with the Intelligence TV Stakeholders, the Program Overview Committee and the Service Line Advisory Group.

Data scientists must always remember that data sets are not objective - they are selected, collected, filtered, structured and analyzed by human design. Naked and hidden biases in selecting, collecting, structuring and analyzing data present serious risks. For example, a recent Wall Street Journal article entitled "Tweets Provide New Way to Gauge TV Audiences" provides evidence of a disconnect between mainstream viewers and folks who use Twitter. The chart above shows the disconnect between the most popular and most tweeted shows - the most tweeted show is not a top ten show. While Twitter data can be useful for detecting trends and sentiments for certain areas (e.g., disease surveillance, natural disaster surveillance, product sentiments, financial trading, politics) in limited circumstances using scientific methods, it can also mislead and present a false view of reality.

"What is the relationship like between your team and the data scientists?" This is, without a doubt, the question I'm most frequently asked when conducting interviews for data platform engineers. It's a fine question – one that, given the state of engineering jobs in the data space, is essential to ask as part of doing due diligence in evaluating new opportunities. I'm always happy to answer. But I wish I didn't have to, because this a question that is motivated by skepticism and fear. If you read the recruiting propaganda of data science and algorithm development departments in the valley, you might be convinced that the relationship between data scientists and engineers is highly collaborative, organic, and creative. However, it's not a well kept secret that this is seldom the case. Most shops foster a relationship between engineers and scientists that lies somewhere in the spectrum between non-existent1 and highly dysfunctional. Data scientists: the folks who are "better engineers than statisticians and better statisticians than engineers".

Vivek Wadhwa is an academic, entrepreneur, and author who holds appointments at Stanford, Duke, and Singularity University. For the past century, the price and performance of computing has been on an exponential curve. And, as futurist Ray Kurzweil observed, once any technology becomes an information technology, its development follows the same curve, so we are seeing exponential advances in technologies such as sensors, networks, artificial intelligence, and robotics. The convergence of these technologies is making amazing things possible. Yes, with every good there is a bad; wonderful things will become possible, but with them we will also create new problems for mankind. Here are six of the technologies that will make this happen, and the good they will do.

A "rock star" (New York Times) of the computing world provides a radical new work on the meaning of human consciousness. The holy grail of psychologists and scientists for nearly a century has been to understand and replicate both human thought and the human mind. In fact, it's what attracted the now-legendary computer scientist and AI authority David Gelernter to the discipline in the first place. As a student and young researcher in the 1980s, Gelernter hoped to build a program with a dial marked "focus." At maximum "focus," the program would "think" rationally, formally, reasonably.

Most discussions of "robot rights" play out in a seemingly distant, science-fictional future. While skeptics roll their eyes, advocates argue that technology will advance to the point where robots deserve moral consideration because they are "just like us," sometimes referencing the movie Blade Runner. Blade Runner depicts a world where androids have human-like emotions and develop human-like relationships to the point of being indistinguishable from people. But Do Androids Dream of Electric Sheep, the novel on which the film is based, contains a small, significant difference in storyline. In the book, the main character falls in love with an android that only pretends to requite his feelings.

In every prediction about the future of work, artificial intelligence appears pretty close to the top of technology trends for businesses to prepare for. Google and other technology giants are developing algorithms which can learn from human inputs, meaning that they can accelerate their learning in a particular area at an incredibly rapid rate. However, before diving into a new artificial intelligence strategy for business, it's worth taking a look at what the capabilities of AI actually are right now, because the media presents a confusing picture. The first type of AI is highly achievable, and probably shouldn't be called AI at all – it's just a good algorithm. More successful types of this AI are the'recommendation engines' – characterised by you-watched-this-movie so you-may-like-this-TV-show. These are extremely helpful for customer engagement, and bringing people personalised recommendations to make them come back to your product.

It might not happen anytime soon, but then again, it might. In Japan, a short novel co-written by an artificial intelligence program (its co-author is human) made it past the first stage of a literary contest, the Japan News reports. The Nikkei Hoshi Shinichi Literary Award is named after Hoshi Shinichi, a Japanese science fiction author whose books include "The Whimsical Robot" and "Greetings from Outer Space." Judges for the prize weren't told which novels were written by humans and which were penned by human-computer teams. The award is unique in that it accepts entries from "applicants who are not human beings (AI programs and others)."

Image Comics have a big June coming up. They are launching Midnight Of The Soul from Howard Chaykin, She Wolf from Rich Tommaso, an artist's roof edition of Injection, and the return of Frank Quitely to Mark Millar's Jupiter's Legacy for the second book…. The sequel to industry sales-beast JUPITER'S LEGACY is back and it boasts monthly FRANK QUITELY! Superhero offspring Hutch and Chloe have come out of hiding with son Jason to assemble a team of super-crooks from around the globe. It's 1950, and Joel Breakstone, former GI and liberator of Auschwitz, is seriously damaged goods.

Star Wars: The Force Awakens' Daisy Ridley has confirmed talks to take on the role of Lara Croft in a forthcoming Tomb Raider reboot. Speaking to the Hollywood Reporter at the Empire awards in London, the British actor said there had "been conversations" about her taking on the part of the English archaeological explorer made famous by Angelina Jolie in two early noughties films. "I'm waiting for someone to say'I want you, let's do it'," she said. It is understood no script yet exists for the project, which is in its early stages. Related: Star Wars' Daisy Ridley says: 'I will not apologise for how I look' Ridley, 23, who is set to return as Rey in Star Wars: Episode VIII suggested she would have enough time to shoot different projects.