The system is called Recognition and will be running for three months in London up to 27 November 2016. A nice touch is that it will also take in feedback from matching selections made by viewers themselves at the art museum on Millbank. Created by Fabrica, it's the winner of the IK Prize 2016 for digital innovation, awarded by Tate Britain, in partnership with Microsoft. A display at Tate Britain accompanies the online project offering visitors to the gallery the chance to compare the machine's matches with their own and invites them to help retrain the algorithm. The experiment will explore whether an artificial intelligence programme can learn from the many personal responses humans have when looking at images.

For the 1964 World Fair, science fiction author Isaac Asimov wrote an article for the New York Times, envisioning what the exhibits at the event would look like in fifty years' time. Asimov's predictions were scrutinized and used in numerous think pieces and tech forecasts of 2014, the year that marked the passing of the five decades since the article's publish date. Since a large body of Asimov's work concerned itself with human relationship with artificial intelligence, much attention was focused on the following quote: "If machines are that smart today, what may not be in the works 50 years hence? It will be such computers, much miniaturized, that will serve as the "brains" of robots." Most writers summarized that, while the closest we have to an android housekeeper is a Roomba, Asimov was right to draw the parallel between brains and computers.

John R. Hauser is the Kirin Professor of Marketing at M.I.T.'s Sloan School of Management where he teaches new product development, marketing management, and statistical and research methodology. He has served MIT as Head of the MIT Marketing Group, Head of the Management Science Area, Research Director of the Center for Innovation in Product Development, and co-Director of the International Center for Research on the Management of Technology.He is the co-author of two textbooks, Design and Marketing of New Products and Essentials of New Product Management, and a former editor of Marketing Science (now on the advisory board).I think it wouldn't be smart to start this interview with something as dull and complex as a definition. Or am I the only one that likes to read light weight and short articles? Let's just get it over with. "Website morphing matches the look and feel of a website to each customer so that, over a series of customers, revenue or profit are maximized."

In a world where personal information is ubiquitous and accessible, shouldn't you have the right to be forgotten? How should we deal with traces of our online selves? These are just two of many questions and issues explored in Sheila Jasanoff's new book, The Ethics of Invention, which published this week. Jasanoff, a professor of science and technology studies at the Harvard Kennedy School of Government, explores ethical issues that have been created by technological advances--from how we should deal with large-scale disasters such as Bhopal or Chernobyl to the more hidden conundrums of data collection, privacy, and our relationship with tech giants like Facebook and Google. Jasanoff believes we don't sufficiently acknowledge how much power we've handed over to technology, which, she writes, "rules us as much as laws do."

Ritika Gunnar is vice president of offering management, data and analytics at IBM. She has also served as a software engineer and as vice president for information integration and governance in IBM's platform analytics group. In this exclusive interview with SearchCloudApplications, she discusses the evolution of the data science industry and the skills that developers must possess to flourish in a data-driven world. How can you speed deployment and boost ROI? It's not easier said than done. Learn the latest techniques allowing companies to eliminate barriers between development, testing and deployment.

Knowing that an AI wrote Sunspring makes the movie more fun to watch, especially once you know how the cast and crew put it together. Director Oscar Sharp made the movie for Sci-Fi London, an annual film festival that includes the 48-Hour Film Challenge, where contestants are given a set of prompts (mostly props and lines) that have to appear in a movie they make over the next two days. Sharp's longtime collaborator, Ross Goodwin, is an AI researcher at New York University, and he supplied the movie's AI writer, initially called Jetson. As the cast gathered around a tiny printer, Benjamin spat out the screenplay, complete with almost impossible stage directions like "He is standing in the stars and sitting on the floor." Then Sharp randomly assigned roles to the actors in the room.

Actress Cloris Leachman issued a statement about the death of "Young Frankenstein" co-star Gene Wilder, who died from Alzheimer's disease Sunday. He was 83 years old. Leachman, 90, fondly remembered the actor, who starred in classic films like "Blazing Saddles" and "Willy Wonka and the Chocolate Factory." "Gene was in a class by himself," her exclusive statement to People Magazine read Monday. "I looked up to him yet on the set he was just one of us. I remember when we were shooting'Young Frankenstein' there was a scene where I had to get the group up the stairs immediately. I had to say, 'Shtay close to zee candles' and turn toward him. As I turned around I could see his face was in two pieces. We had to do our scenes 14 times over because he'd be laughing so hard. Alas…alas… So, dear Gene, I vill say, Goodnight."

For anyone who's heard the "Oompa Loompa" song or Frankenstein pronounced as "Fronkensteen," news of actor Gene Wilder's death on Monday cuts deeply. Wilder died from complications of Alzheimer's disease at age 83, according to his nephew Jordan Walker-Pearlman. Wilder passed away in his hometown of Stamford, Connecticut, late Sunday, reported the Associated Press. He had been diagnosed with non-Hodgkin's lymphoma, a cancer that originates in the lymphatic system, in 1989. Wilder was born Jerome Silberman in Milwaukee and began studying acting at age 12.

Prof. Bostrom has written a book that I believe will become a classic within that subarea of Artificial Intelligence (AI) concerned with the existential dangers that could threaten humanity as the result of the development of artificial forms of intelligence. What fascinated me is that Bostrom has approached the existential danger of AI from a perspective that, although I am an AI professor, I had never really examined in any detail. When I was a graduate student in the early 80s, studying for my PhD in AI, I came upon comments made in the 1960s (by AI leaders such as Marvin Minsky and John McCarthy) in which they mused that, if an artificially intelligent entity could improve its own design, then that improved version could generate an even better design, and so on, resulting in a kind of "chain-reaction explosion" of ever-increasing intelligence, until this entity would have achieved "superintelligence". This chain-reaction problem is the one that Bostrom focusses on. He sees three main paths to superintelligence: 1. The AI path -- In this path, all current (and future) AI technologies, such as machine learning, Bayesian networks, artificial neural networks, evolutionary programming, etc. are applied to bring about a superintelligence.

Katherine Johnson as she received the Medal of Freedom. Johnson played a pivotal role in the American space program. She was one of the first African-American women to work at NASA (and the agency's predecessor, the National Advisory Committee for Aeronautics). A mathematician, she worked as a "human computer" performing calculations for the Mercury, Apollo, and Shuttle programs. A NASA biography of Johnson says she was so respected by her peers that "John Glenn requested that she personally re-check the calculations made by the new electronic computers before his flight aboard Friendship 7--the mission on which he became the first American to orbit the Earth."