How Brexit may affect artists and the art market. George Lucas abandons plans for a museum in Chicago. Miami models allege that an artist asked them to do intimate things with a rope. The Chicago Tribune says good riddance. Plus, how the referendum may affect artists.

Once again, thousands of people from various corners of the marketing industry and the world descended on the French Riviera for the Cannes Lions International Festival of Creativity. Some things haven't changed: the celebrity appearances, the late nights on the Carlton terrace that invariably lead to a regrettable hangover, the gigantic Daily Mail Yacht and the endlessly flowing rose. But this year also brought some surprises, including the Brexit decision at the end of the week as well as some unexpected Lions winners. Here are some other takeaways from adland's biggest event. The Maison Samsung featured a VR surfing experience on the roof and a super-secret "second-floor experience."

When American novelist David Foster Wallace delivered the commencement address at Kenyon College in 2005, he urged the graduating class to "exercise some control over how and what you think." If you don't at least try to regulate your thoughts and behaviors, Wallace cautioned, you will go through life "dead, unconscious, a slave to your head." Wallace himself long suffered with unwanted negative thoughts and crippling self-doubt--and took his own life three years after that speech. But can our mind become a "terrible master," as Wallace described? Kessler, the former commissioner of the U.S. Food and Drug Administration, has considered that question for the past two decades, studying how substances such as food, alcohol and tobacco can hijack our brain chemistry and compel us to act against our own best intentions--bingeing on brownies, booze or cigarettes.

Robots probably won't kill people, but people could kill people with robots. That's the concern of an open letter signed by scientists and other interested parties -- including Elon Musk, Steve Wozniak and Stephen Hawking. If any major military power pushes ahead with AI weapon development, a global arms race is virtually inevitable, and the endpoint of this technological trajectory is obvious: autonomous weapons will become the Kalashnikovs of tomorrow. See also: Team KAIST won the 2015 DARPA Robotics Challenge, so now what? The Future of Life Institute, the volunteer-backed research organization which posted the letter, aims to "maximize the future benefits of AI while avoiding pitfalls," according to its website.

There's always one game at E3 that proves, counter to the general theme of the show, bigger isn't always better. This year, a tiny studio named Compulsion found itself thrust into the limelight after its project We Happy Few caused a considerable splash at Microsoft's press conference. But as a black comedy set in a dystopian Britain being destroyed by a vast group hallucination, it may now take on more profound and pressing connotations following last night's result. For some, this strange combination of 1984, A Clockwork Orange and Bioshock feels very much the game of the moment. The opening of the E3 demo, which momentarily silenced the usual energetic whooping, evoked the spirit of another wonderful introductory sequence, from Terry Gilliam's seminal 1985 film Brazil.

IN JULY 2011 Sebastian Thrun, who among other things is a professor at Stanford, posted a short video on YouTube, announcing that he and a colleague, Peter Norvig, were making their "Introduction to Artificial Intelligence" course available free online. By the time the course began in October, 160,000 people in 190 countries had signed up for it. At the same time Andrew Ng, also a Stanford professor, made one of his courses, on machine learning, available free online, for which 100,000 people enrolled. Both courses ran for ten weeks. Such online courses, with short video lectures, discussion boards for students and systems to grade their coursework automatically, became known as Massive Open Online Courses (MOOCs).

WIRE)--Ipswitch, the leader in easy to try, buy and use IT management software, today announced the findings of an independent global study, carried out by analyst firm Freeform Dynamics. The survey examines the attitudes and readiness of IT decision makers with regard to intelligent machines and business systems (machines with decision making and learning capabilities). Exploring the fast-paced adoption of these systems, the report looks at the positive impacts already being observed in the commercial world and the potential barriers to even further mainstream adoption over the next decade. According to the research, investment in intelligent business systems and automation is well underway across the globe. Top current application deployment areas cited by respondents include digital customer engagement systems (55 percent), process automation and workflow systems (52 percent) and automated risk monitoring and management solutions (50 percent).

Riddance to bad rubbish: Islamic State is still in Fallujah. Britain's EU referendum: Hoping that demography is not destiny Flying high: A new crop of hands-on universities is transforming how... Visit The Economist e-store and you'll find a range of carefully selected products for business and pleasure, Economist books and diaries, and much more

Now your videos of surfing, skiing, snowboarding, motocross…and all those other zany activities will be easier than ever to edit, thanks to machine learning and a new attachment known as Pik'd. Pik'd is meant to help you ensure that fun and adrenaline are the protagonists of your footage, and not much time or concern needs to be devoted to post-production. The communication between the technologies works automatically, so the user doesn't have to manipulate the device. All you have to do is attach the tech to your GoPro and record. Once the images have been captured, connect the camera to the computer and open the Pik'd software, which will be supplied free of charge.

We've long known that there are many tasks that computers can perform faster – and better – than humans. Of course, we still have to teach computers HOW to do these tasks, and when using conventional programming techniques we have to be very specific about what computers should do and when. With machine learning, we're essentially teaching computers how to learn what to do, and some of them are becoming better than we are at complex tasks. For example, machine learning is a key enabler of self-driving cars and experts predict that they will eventually be safer than human-driven vehicles. That's just one example of how machine learning is letting us use computers in new ways to do new things.