Speaking at Infosecurity North America on "Demystifying the Science of Machine Learning in Endpoint Security" – Jack Danahy, CTO of Barkly pointed to examples of how machine learning was used in sustaining Bordeaux wine and in baseball (as dramatized in the movie Moneyball), and said that as it is "used all over the place", he said that often people ask what it means, what does it do and how can users take advantage of it. Danahy said that having data and knowing what to look for has become "so popular as computers got so powerful and are churning through tons of questions on data", and we either need computers that are powerful and have enough resources to gather enough data to make sense, or a better solution. "The data also has to be good but there is also a limit on what you're looking for: in the case of Moneyball [Billy Bean] was not sure what he was looking for but with security, think about looking at data, and the first challenge is what to look for within the data and what feature or factor will we look for." Danahy said that machine learning starts with supervision, which means teaching the system on one set of samples whether they are good or bad, and samples are arranged into training sets and the job of machine learning is to learn from those samples. "With tens of thousands of samples, how to train those to categorize them in right way," he said.

Today's leading minds talk AI with host Byron Reese Visit VoicesInAI.com to access the podcast, or subscribe now: Byron Reese: Hello, this is Voices in AI brought to you by Gigaom. I am your host, Byron Reese. Jeff is a Google Senior Fellow and he leads the Google Brain project. His work probably touches my life, and maybe yours, about every hour of every day, so I can't wait to begin the conversation. Welcome to the show Jeff. Jeff Dean: Hi Byron, this is Jeff Dean. I'm really good, Jeff, thanks for taking the time to chat. You went to work for Google, I believe, in the second millennium.

The Omega Team was the soul of the company. Whereas the rest of the enterprise brought in the money to keep things going, by various commercial applications of narrow AI, the Omega Team pushed ahead in their quest for what had always been the CEO's dream: building general artificial intelligence. Most other employees viewed "the Omegas," as they affectionately called them, as a bunch of pie-in-the-sky dreamers, perpetually decades away from their goal. They happily indulged them, however, because they liked the prestige that the cutting-edge work of the Omegas gave their company, and they also appreciated the improved algorithms that the Omegas occasionally gave them. What they didn't realize was that the Omegas had carefully crafted their image to hide a secret: They were extremely close to pulling off the most audacious plan in human history. Their charismatic CEO had handpicked them not only for being brilliant researchers, but also for ambition, idealism, and a strong commitment to helping humanity. He reminded them that their plan was extremely dangerous, and that if powerful governments found out, they would do virtually anything--including kidnapping--to shut them down or, preferably, to steal their code. But they were all in, 100 percent, for much the same reason that many of the world's top physicists joined the Manhattan Project to develop nuclear weapons: They were convinced that if they didn't do it first, someone less idealistic would. The AI they had built, nicknamed Prometheus, kept getting more capable. Although its cognitive abilities still lagged far behind those of humans in many areas, for example, social skills, the Omegas had pushed hard to make it extraordinary at one particular task: programming AI systems. They'd deliberately chosen this strategy because they had bought the intelligence explosion argument made by the British mathematician Irving Good back in 1965: "Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man, however clever. Since the design of machines is one of these intellectual activities, an ultraintelligent machine could design even better machines; there would then unquestionably be an'intelligence explosion,' and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make, provided that the machine is docile enough to tell us how to keep it under control."

Artificial intelligence (AI) is rapidly moving from the laboratory and into business and consumer applications, resulting in a fundamental shift in how software is built and what it's capable of doing. And while we're still a ways off from the artificial general intelligence portrayed in the movies, artificial narrow intelligence is a reality that's already powering some of the most successful technology businesses today, including Amazon, Facebook, Google and Apple. In the "10 Principles of Applied Artificial Intelligence" we provide an overview of the principles that will help you apply artificial intelligence to your business. Stay tuned for our forthcoming white paper that will dive into each of these principles in much greater detail.

About 4,000 people listened to Cuban as he kicked off his shoes--literally--and explained how AI will change the game for companies, educators, and future developments. He's also keeping his eyes peeled for smaller companies in machine learning and AI, and already has at least three companies in his investment portfolio. "[Software writing] skill sets won't be nearly as valuable as being able to take a liberal arts education … and applying those [skills] in assisting and developing networks." But in order for the country to advance to that future, AI and robotics need to become core competencies in the U.S., and not just in the business world, Cuban said.

YouTube has updated its search engine in an effort to promote more authoritative videos, hoping to diminish the reach of conspiracy theories, harmful messages and misinformation on the platform, The Wall Street Journal reports. The changes follow the mass shooting in Las Vegas this week, wherein a gunman killed 58 people and wounded more than 500 others at a music festival on the Strip. After the shooting, videos propagating conspiracy theories and misinformation started climbing the ranks in YouTube's search results -- Google and Facebook faced similar problems this week. For example, The WSJ says on Tuesday night, the fifth result for "Las Vegas shooting" on YouTube was a video titled, "Proof Las Vegas Shooting Was a FALSE FLAG attack -- Shooter on 4th Floor," a rumor that has been repeatedly refuted by authorities. YouTube rolled out the changes on Wednesday night, accelerating its existing plans to tweak the search engine.

A full-scale figure of a "T-800" terminator robot used in the movie Terminator 2, is displayed at a preview of the Terminator Exhibition in Tokyo in 2009. A full-scale figure of a "T-800" terminator robot used in the movie Terminator 2, is displayed at a preview of the Terminator Exhibition in Tokyo in 2009. Artificial intelligence is the subject of great hopes, dire warnings, and now -- a congressional caucus. Alarms about AI have been raised in apocalyptic movies and by some of the most pioneering minds in science and technology. Elon Musk, the Tesla and SpaceX CEO, said in July that AI is a "fundamental existential risk for human civilization."

New mediums like augmented reality, virtual reality and artificial intelligence are pushing the boundaries of art, entertainment, gaming and performance -- but immersive media isn't always accessible. For one day only, we invite you to experience what happens at the outer limits of creativity. The first Engadget Experience is set to bring together some of the brightest minds in technology, art and entertainment next month, and we want you to be there. The agenda is nearly complete, and we're proud to say it's going to be a killer show. When we first birthed this brain baby, we didn't know what it would look like.

Had there never been a "Mad Max" or "Alien" movie, or John Carpenter's unfortunate "Ghosts of Mars" for that matter, "The Osiris Child" would have been hailed as a true original. Even with its many obvious influences, Shane Abbess' indie sci-fi thriller, subtitled "Science Fiction Volume One," serves as a handy example of how not to allow budget limitations to curb some truly imaginative production design. Set on a newly colonized floating planet built by a considerable convict work force, the American-accented Australian film concerns the efforts of military contractor Kane Sommerville (Daniel MacPherson), who joins forces with somber prison riot escapee Sy Lombrok (Kellan Lutz) to save Kane's daughter Indi (Teagan Croft) from an impending crisis of global proportions. Turns out the apocalyptic threat in question involves nasty monsters called Raggeds that have mutated from the prisoners themselves in an experiment gone horribly awry. While the storytelling, by Abbess and co-writer Brian Cachia, might lack novelty and, occasionally, coherence, visually the film consistently impresses with creative art direction and costume choices, effectively captured by cinematographer Carl Robertson, that make the most of the tight spending allowance.

Upon its initial release in 1982, Ridley Scott's "Blade Runner" was a critical and commercial disappointment. Over time the film amassed a devoted cult following, and in 1992, upon the release of Scott's director's cut, Times film critic Kenneth Turan wrote a deep dive into the making of the film and its rediscovery. Twenty-five years later a sequel, "Blade Runner 2049," will open in theaters nationwide. This article was originally published on Sept. 13, 1992. Elegant cars gliding through a decaying infrastructure, the dispossessed huddling in the shadow of bright skyscrapers, the sensation of a dystopian, multiethnic civilization that has managed to simultaneously advance and regress -- these are scenes of modern urban decline, and if they make you think of a movie, and chances are they will, it can have only one name: "Blade Runner." Few, if any, motion pictures have the gift of predicting the future as well as crystallizing an indelible image of it, but that is the key to "Blade Runner's" accomplishments. One of the most enduringly popular science-fiction films, it revived the career of a celebrated writer, helped launch a literary movement and set a standard for the artistic use of special effects many people feel has never been equaled. And, until now, it has never been seen in anything like the form intended by the people who created it. Starting this weekend, a full decade later than anyone anticipated, Ridley Scott's original director's cut of this moody, brilliant film is having its premier engagement, opening in 60 cities nationwide, with another 90 to follow in three weeks. While classic revivals have become commonplace, the usual re-released versions offer either a technical improvement (Orson Welles' "Othello") or else a sprinkle of new footage ("Lawrence of Arabia"). This "Blade Runner" is a very different version, a cut that until two years ago no one even knew existed, and because of the film's reputation and power it is intended by Warner Bros. to make some serious money. Yet if this seems like a simplistic tale of good finally triumphing over evil, be aware that absolutely nothing about "Blade Runner" is as simple as it first seems. For this was a film that was awful to make, even by normal Hollywood standards of trauma, agonizing to restructure and rediscovered by a total fluke. The people who worked on it called it "Blood Runner," a sardonic tribute to the amount of personal grief and broken relationships it caused, and they recall it with horror and awe.