For the four-hundredth anniversary of Shakespeare's death, Gregory Doran, the artistic director of the Royal Shakespeare Company, wanted to dazzle. He turned to "The Tempest," the late romance that includes flying spirits, a shipwreck, a vanishing banquet, and a masque-like pageant that the magician Prospero stages to celebrate his daughter's marriage. "The Tempest" was performed at the court of King James I, and it may have been intended in part to showcase the multimedia marvels of Jacobean court masques. "Shakespeare was touching on that new form of theatre," Doran told me recently, over the phone. "So we wanted to think about what the cutting-edge technology is today that Shakespeare, if he were alive now, would be saying, 'Let's use some of that.' " The politics behind Shakespeare and stage illusion are more fraught than usual these days.

How can big banks keep up with nimble fintech startups trying to eat their lunch? One strategy is to act like them -- if you can't beat'em, join'em. "What we tried to do with SmartWealth is to be like a fintech, to go at that pace but within a large organisation," UBS' Shane Williams told Business Insider during a recent interview. "It's trying to get the best of both worlds." Williams is the co-head of UBS' recently launched online wealth manager, SmartWealth, which lets people gain access to the Swiss bank's investment expertise with as little as £15,000 ($18,915) to invest.

Artificial Intelligence could either lead to global mass unemployment or create new jobs that we cannot yet imagine. Artificial intelligence "will soon destroy millions of human jobs," warned Gerd Leonhard of The Futures Agency, a speaker at Tata Communications' CEO Summit 2016 earlier this month. "In five years most companies will have armies of very cheap, very powerful machines, connected to a smart cloud, and they will be able to accomplish so many routine processes," the Zurich-based futurist said. "Some 25 years from now machines, through cognitive computing and using vast amounts of data from humans, will do all of that kind of work." A select cluster of 60 business leaders attended the two-day conference at Coworth Park in Ascot, which both educated and provoked.

To get your morning started right, take a look at the latest stories published since yestereday. Artificial intelligence software can now help cops spot new or previously unknown child sexual abuse media and prosecute offenders. The toolkit, described in a paper published in Digital Investigation, automatically detects new child sexual abuse photos and videos in online peer-to-peer networks. Tagged In Artificial Intelligence European Commission German Language Republic Of Ireland Lancaster University Peer To Peer Child Pornography University College Cork Child Sexual Abuse Microsoft Research New England seeks outstanding applicants for postdoctoral researchers in the area of machine learning / statistics or a related field. To apply, please see the application instructions, below.

The capabilities of artificial intelligence and machine learning are accelerating, and many cybersecurity tasks currently performed by humans will be automated. There will still be plenty of work to go around so job prospects should remain good, especially for those who keep up with technology, broaden their skill sets, and get a better understanding of their company's business needs. Cybersecurity jobs won't go the way of telephone operators. Take, for example, Spain-based antivirus company Panda Security. When the company first started, there were a number of people reverse-engineering malicious code and writing signatures.

"We are currently working on machine learning to pick up early signals of ill health. My current role is to ensure that this is implemented in line with national recording guidance which does not cover machine learning. This is currently in pilot phase in the A&E in Salford." "We could use machine learning where we currently have manual intervention in aspects of our workflows, and we could even get to the stage where we use a lot of machine learning in our underwriting algorithms," says Rob Harding, Capital One Europe CIO. The company has already implemented some aspects of machine learning into its data science team, but Harding believes there is much more to be explored in the area." "A number of initiatives in machine learning show great potential to allow our scientists to focus on the science and reduce time to produce predictive models from weeks to hours." "Today, every plant around the world brings forecasting, inventory, and production information together in their ERP to help managers meet a demand cycle.

Yoky Matsuoka, who joined Apple Inc. in May as an executive to help run health technology initiatives, has left the iPhone maker, according to people familiar with the matter. Matsuoka was hired to lead teams involved with the company's HealthKit tracking software, the CareKit tool for managing patient medical care, the ResearchKit framework for conducting medical studies via Apple devices, and related machine learning algorithms. Matsuoka reported to Jeff Williams, Apple's chief operating officer, who also runs the teams related to the Apple Watch, health research, and fitness applications. An Apple spokeswoman declined to comment. Before joining Apple, Matsuoka led technology efforts as a vice president at Alphabet Inc.'s Nest Labs.

Creating machines to think for themselves may feel like the plot of a hardcore sci-fi novel. But in reality, it's what engineers and software developers are doing today to push the boundaries of technology. This limited-time offer bundles up high-level instruction on how to actual construct self-learning machines for 91 percent off from TNW Deals. TNW Conference is back for its 12th year. In over 14 hours of instruction, these four courses take you deep inside the artificial intelligence tech that underlies advanced Google web searches and even Tesla's self-driving cars.

When Robert Schapire started studying theoretical machine learning in graduate school three decades ago, the field was so obscure that what is today a major international conference was just a tiny workshop, so small that even graduate students were routinely excluded. But it has become one of the hottest fields in computer science, turning once-obscure academic gatherings like the upcoming Annual Conference on Neural Information Processing Systems in Barcelona, Spain, into a sold-out affair attended by thousands of computer scientists from top corporations and academic institutions. "It's been really something to see this field develop, and to see things that seemed impossible become possible in my lifetime," said Schapire, a principal researcher in Microsoft's New York City research lab whose machine learning research is widely used in the field. The NIPS conference, which starts Monday, is so popular because machine learning has quickly become an indispensable tool for developing technology that consumers and businesses want, need and love. Machine learning is the basis for technology that can translate speech in real time, help doctors read radiology scans and even recognize emotions on people's faces.