Sébastien Bratières is a PHD candidate in Engineering at the University of Cambridge, where he researches probabilistic machine learning in the Bayesian methods. His background is in natural language processing and speech recognition. Currently he works for Dawin, a company making speech recognition interfaces.

Decision tree learning is a popular data-modeling technique that has been around for over fifty years in the fields of statistics, artificial intelligence, and machine learning. The approach and its innumerable variants have been 1 successfully involved in many challenges requiring classification and regression tasks, and it is no exaggeration to say that many modern predictive algorithms rely directly or indirectly on tree principles. What has greatly contributed to this success is the simplicity and transparency of trees, together with their ability to explain complex data sets. The monographs by Breiman et al. (1984), Devroye et al. (1996), Rokach and Maimon (2008), and Hastie et al. (2009) will provide the reader with introductions to the general subject area, both from a practical and theoretical perspective. The history of trees goes on today with random forests (Breiman, 2001), which are on the list of the most successful machine learning algorithms currently available to handle large-scale and high-dimensional data sets.

Apple's new robot, Liam, is designed to disassemble iPhones for recycling purposes. Meet Liam, an Apple robot designed to take apart 1.2 million iPhones a year. Mashable reporter Samantha Murphy Kelly got a first look at the robot at Apple's headquarters. It has 29 arms and it was an Apple secret for three years. "Liam is programmed to carefully disassemble the many pieces of returned iPhones, such as SIM card trays, screws, batteries and cameras, by removing components bit by bit so they'll all be easier to recycle. Traditional tech recycling methods involve a shredder with magnets that makes it hard to separate parts in a pure way (you'll often get scrap materials commingled with other pieces)."

Narratives are made by the artful omission of facts. Never was this maxim more evident than in a gullible feature story that landed on the front page of the New York Times last fall, about a young woman's last-ditch bid for life extension as she succumbed to the ravages of brain cancer. A sober look at the case would have revealed it to be but the latest botched mortuary procedure conducted by a gang of creepy scam artists. Instead, through the good graces of the Times, this grim tale was spun into an inspirational saga of one person's courageous quest for a second chance at life, aided by medical visionaries on the verge of miraculous technological breakthroughs. Kim Suozzi died at age twenty-three in January 2013. After her first diagnosis, twenty-one months earlier, Suozzi chose to become one of the youngest people ever[*] to undergo an expensive form of ritualistic corpse mutilation called cryonic preservation. In pop culture, cryonics is perhaps best known as the plot device that transports the schlubby pizza delivery guy in Matt Groening's animated series Futurama into the thirty-first century. The decades-old quack procedure, which involves freezing corpse parts for later resuscitation, was for a long time apocryphally associated with such wealthy eccentrics as Walt Disney. It then caused a scandal in 2002 when it was widely reported that the body of baseball great Ted Williams had gone into deep freeze against the wishes of some in his family. In recent years, cryonics has regained an entirely undue aura of respectability as the thought leaders of Silicon Valley have trained their enterprising, disruptive vision on the conquest of disease and death.[**] Suozzi, an agnostic libertarian and aspiring neuroscientist, began taking cryonics seriously after discovering the work of the futurologist Ray Kurzweil through a cognitive science class at Truman State University in Missouri. After surgery and other treatments failed to stop the growth of her brain tumor, Suozzi determined that upon death she--or rather, her head--would be frozen and stored for decades, centuries, or millennia in the hope that one day, diligent, wonder-working doctors would transplant her consciousness into a new, healthy body, or perhaps onto a high-capacity hard drive. As a tech-savvy millennial, Suozzi turned to the chat website Reddit for help in raising the 80,000 she needed to fulfill her last wish. That got her well on her way, with about 7,000 reportedly raised.

The 2016 Summer Movie Preview is a snapshot of the films opening through early September. Release dates and other details, as compiled by Kevin Crust, are subject to change. The view of Earth from space and the information it reveals about humanity's effect on the planet are examined in this large-format science documentary. Business suddenly picks up for a London kosher baker when his young Muslim apprentice accidentally drops a stash of pot into the mixer. Written by Yehudah Jez Freedman and Jonathan Benson. The kidnapping of a beloved kitty forces two naive cousins to infiltrate a street gang. Written by Peele & Alex Rubens. In 1913 Cambridge, England, a young Indian math genius joins forces with an eccentric professor. Written and directed by Matthew Brown. Written by Lily Hollander, Anya Kochoff Romano. After an auto accident, a young woman finds herself in a life at odds with the one she remembers. Written by Doc Pedrolie and Victoria Arch. The famous writer's downward spiral is witnessed by a young reporter during the revolution. With Minka Kelly, Giovanni Ribisi, Joely Richardson, Adrian Sparks. A lonely lombax and a tiny robot team with the Galactic Rangers to save their world in this animated adventure.

The premise is simple: Correspondents, editors and producers from our newsroom share the pieces that have kept them reading, using the #NPRreads hashtag. Each weekend, we highlight some of the best stories. The irony was irresistible: The same week NPR went to Greenland to look at high suicide rates, The New York Times Magazine went to Greenland's neighbor, Iceland -- but for a story on high rates of happiness and how that contentedness is partly powered by the country's vulcanic geology. Iceland came in second on a list of world's happiest countries, despite its arctic weather. It has no public plazas or pubs, but it does have public pools, heated geothermically to hot-tub temperatures.

Researchers from MIT's Computer Science and Artificial Laboratory (CSAIL) alongside machine learning-startup PatternEx have created a new cybersecurity defense system that makes use of both unsupervised and supervised learning methods. Human analysts are then presented with the data and given an opportunity to identify actual attacks, which are then fed back into the machine. The system learns and refines its accuracy over time. CSAIL research scientist Kalyan Veeramachaneni, one of AI,2's co-creators, described it this way: "The more attacks the system detects, the more analyst feedback it receives, which, in turn, improves the accuracy of future predictions. That human-machine interaction creates a beautiful, cascading effect."

Justin Sullivan/GettyEatsa is San Francisco's fully automated fast food restaurant where orders appear in a cubby. At San Francisco's first fully automated restaurant, meals appear in little glass cubbies, just 90 seconds after customers order and pay on wall-mounted iPads. It's a human-less experience – no waitstaff, no cashier, no one to get your order wrong and no one to tip. The moment before the meal appears, the see-through display screen that fronts the cubbies goes black for the few seconds when you might catch sight of the hand that feeds you. Eatsa has not yet achieved total automation.

Despite plans to invest in machines and artificial intelligence as part of their strategy to boost productivity, many automotive and industrial equipment companies are failing to implement the measures needed to harness these capabilities, according to a new report from Accenture. The report, "Machine dreams: Making the Most of the Connected Industrial Workforce," is based on interviews with more than 500 business executives in Asia, Europe and the United States involved in setting their company's strategy for the connected industrial workforce. According to the report, manufacturing and production are undergoing rapid change as machines and AI are becoming closely integrated with personnel, creating the connected industrial workforce. By combining mobile, safety and tracking technologies with analytics, companies are enhancing the activities of an industrial worker. The report concludes that the creation of a connected industrial workforce is already part of the business strategy of the majority of automotive and industrial equipment producers, cited by 94 percent of respondents.

In previous articles, we've talked about the merits of artificial intelligence and big data and how these technologies can enable a multitude of industries to begin learning how to do things more effectively. One area where these technologies can be used is in digital marketing. Also referred to as "programmatic marketing", AI and big data can be used to figure out what digital ad to serve you up at any given time to increase the likelihood that you'll click on it. While we've said before that you can't invest in artificial intelligence yet as a retail investor, we did come across one publicly traded company called Rocket Fuel (NASDAQ:FUEL) which is playing in the "programmatic marketing" space and while their value proposition sounds exciting, there's much more to this company than meets the eye. Founded in 2008, Rocket Fuel uses artificial intelligence and big data to determine which ad is best to serve at any given moment in order to increase the likelihood of you clicking on that ad, and then engaging with the advertiser.