In 2011, entrepreneur and investor Marc Andreessen wrote his famous,"Why Software Is Eating the World" in the Wall Street Journal. Today, that story would more likely read, "Why Artificial Intelligence Is Eating the World." The market for artificial intelligence (AI) technologies-- from voice and image recognition to chat bots to self-driving cars-- is hot. A Narrative Science survey found last year that 38% of enterprises are already using AI, and that number will grow to 62% by 2018. Like the tech industry at large, the field of artificial Intelligence is dominated by white men.

Over half (54%) of the almost 200 insurance executives surveyed said that their organization was using Machine Learning for predictive analytical modelling. Of those deploying the technology, 70% said they were using it for risk modelling; followed by demand models (45%) and fraud detection (36%). Although nascent, most companies using Machine Learning have realized measurable benefits. Over half of the respondents (57%) said that Machine Learning has made their analytical models far more accurate, which has led to better risk assessments, and ultimately better decisions. The survey found that the main barrier to wider adoption is a lack of knowledge and expertise within organizations.

Amazon Echo can play music and all, but Google Home rules as a party DJ, is a better match for movie night, and has superior sound. But Home's real strength is as a control center for playing music and video around the house. You can use it to speak commands to any smart TV or speaker that has Chromecast built in. If your devices aren't that intellectually advanced, just plug in a Chromecast dongle for audio ($35) or video ($35 for 1080p, $70 for 4K) where you need it. Here's how to set up your system for optimal voice-guided entertainment.

The best science fiction movies use costumes, models and physical props to sell their vision of the future. Alien, for instance, would be nothing without the compression suits worn by its ill-fated crew outside the Nostromo. From June 3rd, the Barbican Centre in London will be celebrating these movies and the staggering work that went into them through a new exhibition called'Into the Unknown.' Walk down its dark, curving corridor and you'll find original spacesuits from Alien, Moon, Sunshine and Star Trek, as well as original Darth Vader and Stormtrooper helmets from Star Wars: Episode V The Empire Strikes Back. Delve deeper and you'll see the black, monolithic TARS robot from Interstellar, the humanoid Sonny from I, Robot and the smiling Twiki from the 1970s TV show Buck Rogers in the 25th Century. They're flanked by manuscripts, concept art and other intriguing props -- one cabinet hides a metal chair designed by H. R. Giger for Alejandro Jodorowsky's unreleased film adaption of Dune.

EU antitrust regulators aim to slap a hefty fine on Alphabet unit Google over its shopping service before the summer break in August, two people familiar with the matter said, setting the stage for two other cases involving the US company. The European Commission's decision will come after a seven-year investigation into the world's most popular internet search engine was triggered by scores of complaints from both US and European rivals. The EU competition authority accused Google in April 2015 of distorting internet search results to favour its shopping service, harming both rivals and consumers. The Commission and Google declined to comment. The US company has in the past rejected the charges, saying that regulators ignored competition from online retailers Amazon and eBay.

Things in machine learning are repeated over and over and hence machine learning is iterative in nature. Therefore, to know machine learning, one has to understand the machine learning process. The machine learning process is a bit tricky and challenging. It is very rare that we find the machine learning process easy. The reason for it being so complex is very clear - a large amount of complex data is involved in this process and out of which we try to find out meaningful predictive patterns and model. That's why, as I mentioned in my last article that this is dealt by data scientists who are actually specialists in this space.

Evan Rachel Wood was not immune to conjuring her own fan theories while shooting "Westworld." "I was certainly the main geek on set coming into the hair and makeup trailer every day going off on some tangents," said Wood, who plays humanoid robot Dolores Abernathy, when she stopped by The Times' video studio. "I think I had about 100 theories and four were right," she said. "The running joke on set was that everyone thought they were Anthony Hopkins. Wood became enthralled with a group text chain with cast members about their ideas on the intricate twists and turns in the show. She took personal satisfaction in correctly guessing the Man in Black twist as early as Episode 2. However, the difference between her and the fans was that her theorizing and revelations happened while shooting the futuristic western rather than after it aired. I had done the scene with Ed [Harris] in the pilot where he picked up the can and gave it to me, tipped his hat. And I just had a déjà vu. I was doing the same scene with Jimmi [Simpson]. And I could just tell the energy on set was very specific, and they were being very specific about how we were shooting, and how he was picking it up. The first time he did it and I took it, I looked in his eye, and I just went, 'Oh, that would be messed up. Which means, that's what it is.' But then it wasn't confirmed and I kinda threw it out."

Megyn Kelly says she'll ask Putin directly about allegations of election meddling Happy birthday to Morgan Freeman, who turns 80 today Jennifer Garner takes issue with new People magazine cover Chloë Grace Moretz addresses body-shaming controversy over Snow White movie Megyn Kelly says she'll ask Putin directly about allegations of election meddling What were your earliest memories of going to the movies? The Golden Age of the multiplex is in the past. Theater owners are luring a new generation with upgraded screens and snacks. And even with the rising prices, tech distractions and rude patrons, there are still many pleasures to be had at the cinema. The L.A. Times film staff reminisced about their buttered-popcorn-scented memories and how the theater-going experience (sticky floors and all) made them fall for that old cinematic magic.

If you just mean using 3d convolutions in place of 2d convolutions, yep. Convolutions are basically just sliding window dot-products, and while I'm not sure what the convLSTM implementations look like, presumably it's not that hard to swap out the 2d cuDNN calls for 3d. Try r/MLquestions or r/learnmachinelearning first next time, just btw.