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Designing Information Delivery of the Future

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This is a story of how artificial intelligence, augmented reality, and virtual reality can transform the academic library into a hybrid space. The library becomes a network of digital connections between physical objects. A network that recommends resources based on personal needs, links print resources to multimedia, embeds interactive tools to enhance knowledge, turns the focus on making discoveries rather than looking for them, and so on. I'm going to talk to you today about information delivery, in the context of libraries, and what I see as the future of libraries. We are about to create a new experience.



Artificial Intelligence in Law Market Share Opportunities Trends, And Forecasts To 2020-2027 with …

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This report focuses on the global Artificial Intelligence in Law status, future forecast, growth opportunity, key market and key players.


r/MachineLearning - [P] Comparison of consumer GPUs to workstation GPUs for deep learning. Is there any good reference already out there?

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I was wondering if there is any good comparisons between top GPUs used for gaming like the Nividia 20x series and the workstation GPUs specialized for deep learning, like the Tesla V100, K80, etc. Obviously the workstations will be far faster, but I was looking for a comparison. If I'm already going to purchase a high end GPU for gaming, I'd like to see just how much slower it would be to train a neural net than paying for service on the cloud.


The Star Wars actor inside C-3PO almost didn't audition for the 'low-budget' film

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Anthony Daniels didn't want to meet a relatively unknown American movie director looking for someone to play a robot in a "low-budget, science fiction film." He just wasn't a fan of the genre, but his agent persisted, telling the aspiring actor "you never know what it could lead to." It's a funny anecdote when you consider that the director was George Lucas, the sci-fi flick was Star Wars: A New Hope and the part Daniels was auditioning for was a "nervous, persnickety and uptight" human-cyborg relations protocol droid named C-3PO. More than 40 years later, Daniels is the only actor to have appeared in all nine Star Wars movies -- from 1977's A New Hope to last year's The Rise of Skywalker, released on DVD last month. Now 74, he chronicles his journey, from classically trained actor and mime in London to one of the most beloved characters in the history of filmmaking (alongside his wing man, R2-D2) in a new memoir, I Am C-3PO: The Inside Story. The story about not wanting to audition is only one of the surprises that Daniels shares. Lucas actually tested 30 other actors to give voice to C-3PO after filming was complete, including actor Richard Dreyfuss, before being convinced by a voiceover pro that Daniel's take of the droid worked best. And he re-creates (in our video interview) some of his favorite lines, calling out the scene in The Rise of Skywalker when he's about to get his memory wiped. "I also felt that this was the last movie and I was saying goodbye and taking one last look at the fans around the world, the people who have been part of the whole thing," he says.


Recommender Systems and Deep Learning in Python -- BINTA DIAZ

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What do I mean by "recommender systems", and why are they useful? Let's look at the top 3 websites on the Internet, according to Alexa: Google, YouTube, and Facebook. Recommender systems form the very foundation of these technologies. They are why Google is the most successful technology company today. I'm sure I'm not the only one who's accidentally spent hours on YouTube when I had more important things to do! Just how do they convince you to do that?


Using A.I. to Combat Fake News

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In 1710 Jonathan Swift wrote "Falsehood flies, and truth comes limping after it, so that when men come to be undeceived, it is too late." Today, this quote seems prescient given the current era we live in where news is disseminated quickly and expansively across the globe with a single click. Fake news has exponentially increased in the last few years heavily saturating our feeds, and confusing Americans more than ever. A 2016 Pew Poll suggests that almost two thirds of US adults believe that fake news has created "a great deal of confusion" about current events. In 2018 a novel paper was published in Science analyzing 126,000 rumors tweeted by 3 million people between 2006 and 2017.



Researchers challenge AI to give advice as well as humans on Reddit can

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Researchers in Seattle have introduced what they call a new AI grand challenge called TuringAdvice, which is centered on creating language models that generate helpful advice for humans using real-world language. The TuringAdvice challenge is based on the dynamic RedditAdvice data set. Created for the challenge, RedditAdvice is a crowdsourced data set of advice shared in the past two weeks that got the most upvotes in Reddit subcommunities. To pass the challenge, a machine must deliver advice as helpful as or better than popular human advice. As part of the TuringAdvice launch, the researchers also released a static RedditAdvice 2019 data set for training advice-giving AI models, which includes 616,000 pieces of advice from 188,000 situations shared by people in Reddit subcommunities.


Investorideas.com Newswire - The AI Eye: Microsoft (NasdaqGS: $MSFT) Announces AI and Cloud Alliance with NBA, Transports Vervaeke Selects Mist Platform from Juniper Networks (NYSE: $JNPR) for Digital Transformation

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Smartphones are commonly used for storing and analyzing data obtained from wearable devices. The rapid growth of the smartphone industry has increased the production of android & IoT-enabled responsive and user-friendly applications for wearable devices. Other factors that drive market growth include rapid urbanization and increasing disposable incomes in developing economies, which determine future trends in wearable technology.