Ilya Sutskever, director of OpenAI, an independent research group, will describe what might be the next big breakthrough in artificial intelligence today at EmTech Digital, a conference organized by MIT Technology Review in San Francisco. Sutskever will describe research showing an approach in machine learning that can perform even better than methods that have produced huge breakthroughs recently. His technique may also prove far more scalable. In a blog post describing the work, Sutskever and colleagues describe using "evolutionary strategies" to have machines figure out for themselves how to solve a complex task. The researchers say the approach is distantly related to a decades-old approach that involves optimizing algorithms using a process of simulated evolution.

When my mother's mother was in her early twenties, a century ago, a suitor took her duck hunting in a rowboat on a lake near Austin, Texas, where she grew up. He steadied his shotgun by resting the barrel on her right shoulder--she was sitting in the bow--and when he fired he not only missed the duck but also permanently damaged her hearing, especially on that side. The loss became more severe as she got older, and by the time I was in college she was having serious trouble with telephones. Her deafness probably contributed to one of her many eccentricities: ending phone conversations by suddenly hanging up. I'm a grandparent myself now, and lots of people I know have hearing problems. A guy I played golf with last year came close to making a hole in one, then complained that no one in our foursome had complimented him on his shot--even though, a moment before, all three of us had complimented him on his shot. The man who cuts my wife's hair began wearing two hearing aids recently, to compensate for damage that he attributes to years of exposure to professional-quality blow-dryers. My sister has hearing aids, too. She traces her problem to repeatedly listening at maximum volume to Anne's Angry and Bitter Breakup Song Playlist, which she created while going through a divorce. My ears ring all the time--a condition called tinnitus.

On a velvety March evening in Mandeville Canyon, high above the rest of Los Angeles, Norman Lear's living room was jammed with powerful people eager to learn the secrets of longevity. When the symposium's first speaker asked how many people there wanted to live to two hundred, if they could remain healthy, almost every hand went up. The venture capitalists were keeping slim to maintain their imposing vitality, the scientists were keeping slim because they'd read--and in some cases done--the research on caloric restriction, and the Hollywood stars were keeping slim because of course. When Liz Blackburn, who won a Nobel Prize for her work in genetics, took questions, Goldie Hawn, regal on a comfy sofa, purred, "I have a question about the mitochondria. I've been told about a molecule called glutathione that helps the health of the cell?" Glutathione is a powerful antioxidant that protects cells and their mitochondria, which provide energy; some in Hollywood call it "the God molecule." But taken in excess it can muffle a number of bodily repair mechanisms, leading to liver and kidney problems or even the rapid and potentially fatal sloughing of your skin. Blackburn gently suggested that a varied, healthy diet was best, and that no single molecule was the answer to the puzzle of aging. Yet the premise of the evening was that answers, and maybe even an encompassing solution, were just around the corner. The party was the kickoff event for the National Academy of Medicine's Grand Challenge in Healthy Longevity, which will award at least twenty-five million dollars for breakthroughs in the field. Victor Dzau, the academy's president, stood to acknowledge several of the scientists in the room. He praised their work with enzymes that help regulate aging; with teasing out genes that control life span in various dog breeds; and with a technique by which an old mouse is surgically connected to a young mouse, shares its blood, and within weeks becomes younger. Joon Yun, a doctor who runs a health-care hedge fund, announced that he and his wife had given the first two million dollars toward funding the challenge. "I have the idea that aging is plastic, that it's encoded," he said. "If something is encoded, you can crack the code." To growing applause, he went on, "If you can crack the code, you can hack the code!" It's a big ask: more than a hundred and fifty thousand people die every day, the majority of aging-related diseases. Yet Yun believes, he told me, that if we hack the code correctly, "thermodynamically, there should be no reason we can't defer entropy indefinitely. We can end aging forever." Nicole Shanahan, the founder of a patent-management business, announced that her company would oversee longevity-related patents that Yun had pledged to the cause.

Let's consider what factors are driving artificial intelligence applications for payments and transaction processing: Digital banking and ecommerce channels are growing exponentially as more and more people use apps and mobile connectivity for transactions. For retailers, newer business models are evolving every day, from instant delivery of goods to digital downloads. Commerce is now operating in an omni-channel environment across multiple devices and touchpoints. Growth comes with a price, as it has led to a corresponding rise in fraud - and fraud loss - in online marketplaces that connect buyers and sellers. That's especially true in e-commerce, where it is harder and more complex to prevent fraud than in person transactions.

Ilya Sutskever, director of OpenAI, an independent research group, will describe what might be the next big breakthrough in artificial intelligence today at EmTech Digital, a conference organized by MIT Technology Review in San Francisco. Sutskever will describe research showing an approach in machine learning that can perform even better than methods that have produced huge breakthroughs recently. His technique may also prove far more scalable. In a blog post describing the work, Sutskever and colleagues describe using "evolutionary strategies" to have machines figure out for themselves how to solve a complex task. The researchers say the approach is distantly related to a decades-old approach that involves optimizing algorithms using a process of simulated evolution.

Ilya Sutskever, director of OpenAI, an independent research group, will describe what might be the next big breakthrough in artificial intelligence today at EmTech Digital, a conference organized by MIT Technology Review in San Francisco. Sutskever will describe research showing an approach in machine learning that can perform even better than methods that have produced huge breakthroughs recently. His technique may also prove far more scalable. In a blog post describing the work, Sutskever and colleagues describe using "evolutionary strategies" to have machines figure out for themselves how to solve a complex task. The researchers say the approach is distantly related to a decades-old approach that involves optimizing algorithms using a process of simulated evolution.

Baby boomers aren't getting any younger, and IBM knows it. Over the last several years, the computing giant has spent much of its time researching ways to keep America's second-largest generation happy and healthy in old age. That research has zeroed in on outfitting boomers' living spaces with artificially-intelligent sensors that can measure things like air quality, sleep quality, movement patterns, falls, and changes in scent and sound. Susann Keohane, senior technologist at IBM Research, says the data captured by those sensors can then help family members and doctors provide people with better care when needed. Critically, the sensors could detect when people deviate from a baseline to offer person-specific alerts.

Data science and machine learning are some of the top buzzwords in the technical world today. A resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This book is your entry point to machine learning. This book starts with an introduction to machine learning and the Python language and shows you how to complete the setup. Moving ahead, you will learn all the important concepts such as getting data, exploratory data analysis, regression algorithms, and more with the help of various projects included in the book.

Approximately 32 percent of existing UK jobs in financial services and insurance could be automated by robotics and artificial intelligence (AI) over the next 15 years, according to a new study by PricewaterhouseCoopers. And other industries are even more at risk. For example, 56 percent of existing transportation and storage jobs could be at risk from automation by 2030, while 46 percent of current manufacturing jobs could be automated, and 44 percent of wholesale and retail jobs are headed for automation, PwC revealed in its latest UK Economic Outlook report. Conversely, the threat of automation is lower in other sectors such as education (9 percent) and health and social work (17 percent), PwC said. Overall, up to 30 percent of existing UK jobs could be automated by 2030, which is a lower proportion than those at risk in the US (38 percent) and Germany (35 percent), but more than Japan (21 percent), the study added.

Save the Date: June 10-11, 2017 Galvanize, San Francisco! The SETI Institute invites all citizen data scientists and technologists to join us as collaborators in our mission to find radio signals from intelligence beyond our Solar System. We are issuing a worldwide public code challenge and accompanying hackathon for the purpose of expanding our radio telescope signal classification tools, using the latest developments in machine- and deep learning. With help from our partners at IBM and Galvanize, we will be launching this code challenge and hackathon this summer. The hackathon will last two full days at the Galvanize office in San Francisco.