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Facebook Gives Workers a Chatbot to Appease That Prying Uncle

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The answers were put together by Facebook's public relations department, parroting what company executives have publicly said. And the chatbot has a name: the "Liam Bot." (The provenance of the name is unclear.) "Our employees regularly ask for information to use with friends and family on topics that have been in the news, especially around the holidays," a Facebook spokeswoman said. "We put this into a chatbot, which we began testing this spring." Facebook's reputation has been shredded by a string of scandals -- including how the site spreads disinformation and can be used to meddle in elections -- in recent years.


How To Implement A Chatbot For Your Webinar Campaign

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Chatbot expert Natasha Takahashi walks you through how to use a chatbot with your webinar campaign. Don't forget to register for Natasha's Chatbot workshop on December 10th. RESOURCES To Check Out: Become a DigitalMarketer Insider (For FREE ALWAYS): http://bit.ly/2KqdSlc She also shares her findings, cutting-edge strategies, and results with the world. The other 50% of her time is spent as CMO and Co-Founder of School of Bots, the trusted chatbot resource for marketers & entrepreneurs.


Whitney Cummings: Comedy, Robotics, Neurology, and Love Artificial Intelligence (AI) Podcast

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Whitney Cummings is a stand-up comedian, actor, producer, writer, director, and the host of a new podcast called Good for You. Her most recent Netflix special features in part a robot, she affectionately named Bearclaw, that is designed to be visually a replica of Whitney. It's exciting for me to see one of my favorite comedians explore the social aspects of robotics and AI in our society. This conversation is part of the Artificial Intelligence podcast. This episode is presented by Cash App: download it & use code "LexPodcast" The episode is also supported by ZipRecruiter.


Facebook allows users to opt out of facial recognition in photos

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If there's one platform that knows how to remain controversial, it's Facebook. In 2011, the company introduced a facial recognition feature which allowed users to tag others through suggestions displayed on photos. Moreover, the person in the photo was automatically notified if the uploader's privacy allowed to do so. This received a lot of criticism from privacy concerned users since it was giving away their identity without consent at times. A few weeks back, a court in Illinois even went as far to issue a ruling stating that users within the State could sue Facebook over its facial recognition technology.


As Artificial Intelligence Advances, Here Are Five Tough Projects for 2018 – Valliant News

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For all the hype about, 2017 saw some notable strides in artificial intelligence. A bot called Libratus, for example. Out in the real world, machine learning is being put to use and widening access to . But have you talked to recently? Then you'll know that despite the hype, and, there are many things that artificial intelligence still can't do or understand.


Facebook taught an AI the 'theory of mind'

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When it comes to competitive games, AI systems have already shown they can easily mop the floor with the best humanity has to offer. But life in the real world isn't a zero sum game like poker or Starcraft and we need AI to work with us, not against us. That's why a research team from Facebook taught an AI how to play the cooperative card game Hanabi (the Japanese word for fireworks), to gain a better understanding of how humans think. Specifically, the Facebook team set out to instill upon its AI system the theory of mind. "Theory of mind is this idea of understanding the beliefs and intentions of other agents or other players or humans," Noam Brown, a researcher at Facebook AI, told Engadget.


EFF warns of 'one-way mirror' in the world of corporate online spying ZDNet

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The Electronic Frontier Foundation (EFF) has published an extensive study into the hidden techniques and methods used by online service providers to collect and track our personal information and activities. On Monday, as shoppers plundered e-commerce websites for Cyber Monday bargains, the civil and privacy rights outfit released "Behind the One-Way Mirror," outlining corporate surveillance methods with a focus on behind-the-scenes tracking. The paper covers a variety of different tracking methods including browser fingerprinting, invisible pixel images, social widgets, mobile tracking, and facial recognition employed by tech giants including Amazon, Facebook, Google, Twitter, as well as countless data brokers, to "collect information about who we are, what we like, where we go, and who our friends are." Third-party tracking is usually invisible to the naked eye. Code, images, and plugins can all contain functions that track browsing, activities, purchases, the duration of visits, ad engagement, and clicks, and may link up different data sources to create a comprehensive shadow profile of your digital self.


Random Forest Algorithm - Random Forest Explained Random Forest in Machine Learning Simplilearn

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This Random Forest Algorithm tutorial will explain how Random Forest algorithm works in Machine Learning. By the end of this video, you will be able to understand what is Machine Learning, what is Classification problem, applications of Random Forest, why we need Random Forest, how it works with simple examples and how to implement Random Forest algorithm in Python. Below are the topics covered in this Machine Learning tutorial: 1. You can also go through the Slides here: https://goo.gl/K8T4tW Machine Learning Articles: https://www.simplilearn.com/what-is-a... To gain in-depth knowledge of Machine Learning, check our Machine Learning certification training course: https://www.simplilearn.com/big-data-... #MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse - - - - - - - - About Simplilearn Machine Learning course: A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people's digital interactions.


Facebook's AI Chief Explains How Algorithms Are Policing Content--And Whether It Works

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Mark Zuckerberg is betting on AI to fix Facebook's many problems. Mark Zuckerberg has made it clear to us that Facebook's problems have gotten so big that only artificial intelligence has a chance at solving them--particularly those stemming from the incessant flow of content generated by Facebook's more than two billion users, all speaking different languages. Terrorism content, for example, seems straightforward enough for algorithms to handle. "I think we have capacity in 30 languages that we are working on," Zuckerberg said of Facebook's 200-people team focused on flagging and deleting terrorism content at a congressional hearing last April. "And, in addition to that, we have a number of AI tools that we are developing… that can proactively go flag the content."


Digital humans that look just like us Doug Roble

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In an astonishing talk and tech demo, software researcher Doug Roble debuts "DigiDoug": a real-time, 3-D, digital rendering of his likeness that's accurate down to the scale of pores and wrinkles. Powered by an inertial motion capture suit, deep neural networks and enormous amounts of data, DigiDoug renders the real Doug's emotions (and even how his blood flows and eyelashes move) in striking detail. Learn more about how this exciting tech was built -- and its applications in movies, virtual assistants and beyond. Get TED Talks recommended just for you! The TED Talks channel features the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less).