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Artificial Intelligence: The Newest World Race

#artificialintelligence

When it comes to artificial intelligence, the United States and China are viewed as the industry leaders.


Artificial Intelligence (AI) Defined

#artificialintelligence

This week's milestones in the history of technology include the coining of the term "artificial intelligence," the digitization of the Library of Congress, and the first penny paper. The first issue of Scientific American is published by Rufus Porter as a weekly broadsheet subtitled "The Advocate of Industry and Enterprise, and Journal of Mechanical and Other Improvements." In an era of rapid innovation, Scientific American founded the first branch of the U.S. Patent Agency, in 1850, to provide technical help and legal advice to inventors. A Washington, D.C., branch was added in 1859. By 1900 more than 100,000 inventions had been patented thanks to Scientific American.


Attribute-aware Collaborative Filtering: Survey and Classification

arXiv.org Machine Learning

Attribute-aware CF models aims at rating prediction given not only the historical rating from users to items, but also the information associated with users (e.g. age), items (e.g. price), or even ratings (e.g. rating time). This paper surveys works in the past decade developing attribute-aware CF systems, and discovered that mathematically they can be classified into four different categories. We provide the readers not only the high level mathematical interpretation of the existing works in this area but also the mathematical insight for each category of models. Finally we provide in-depth experiment results comparing the effectiveness of the major works in each category.


[R] DeepMind is releasing their graph NN library โ€ข r/MachineLearning

#artificialintelligence

It's used internally and to me it's the perfect thickness of abstraction for DL research if you use TF. I write a lot of custom layers and while there are a few TF quirks you have to know, Sonnet has much less mental overhead than the TF.layers lib and is way more "hackable." I tried out all the other topper libs pretty extensively and Sonnet really stood out. The main issue with external adoption, is, well, that there is none _ . I tried looking up a DCGAN example in Sonnet and couldn't find an open source one...there are lots internally, though.


Dynamic Meta-Embeddings improve AI language understanding โ€ข r/LanguageTechnology

#artificialintelligence

A community for discussion and news related to Natural Language Processing (NLP). Natural language processing (NLP) is a field of computer science, artificial intelligence and computational linguistics concerned with the interactions between computers and human (natural) languages, and, in particular, concerned with programming computers to fruitfully process large natural language corpora.


Uber, Google, Facebook: Your experiments have gone too far

Engadget

It was 2014, around the time when Travis Kalanick referred to Uber as his chick-magnet "Boober" in a GQ article, that I'd realized congestion in San Francisco had gone insane. Before there was Uber, getting across town took about ten minutes by car and there was nowhere to park, ever. With Boober in play, there was parking in places there never were spaces, but the streets were so jammed with empty, one-person "gig economy" cars circling, sitting in bus zones, mowing down bicyclists whilst fussing with their phones, still endlessly going nowhere, alone, that walking across the city was faster. To be fair, you wouldn't know there were 5,700 more vehicles a day on our roads if you'd just moved here. Nor if you were pouring Uber-delivered champagne over yourself in a tub of stock options while complaining about San Francisco's homeless from the comfort of your company-rental Airbnb where artists or Mexican families once lived.


Papago GoSafe S810 dash cam review: It nails video, but lacks battery and integrated GPS

PCWorld

The Papago GoSafe S810 camera duo has more "safety" features than you can shake a stick at, including one I'd never even considered--stop sign recognition. It recognizes stop signs and pops the digital equivalent up on its display. Kind of fun, but as I'm wont to say: If you need this stuff, call a cab or wait for self-driving vehicles. Admonishment aside, the $170 S810 is more than just fancy features. It takes very, very good day and night video, and the rear camera, unlike some we've seen recently, actually captures enough detail to be useful.


The Pixel 3's dual cameras are a tacit admission that AI can't do everything -- yet

#artificialintelligence

Google's latest flagship smartphones -- the Pixel 3 and Pixel 3 XL -- are finally shipping to customers, and the reviews are unanimous: The rear camera and dual selfie cams are best in class. But as good as those cameras might be, they're a bit puzzling -- and sort of paradoxical. The original Pixel and Pixel XL have two cameras: one front and one rear. The Pixel 2 and Pixel 2 XL have two cameras: one front and one rear. And the Pixel 3 and Pixel 3 XL have three cameras: two front and one rear.


How Artificial Intelligence Is Changing Marketing : Social Media Examiner

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Wondering what artificial intelligence features are coming to social media and advertising platforms? Want to know how machine learning can improve your marketing? To explore how artificial intelligence will impact social media marketing, I interview Mike Rhodes. The Social Media Marketing podcast is designed to help busy marketers, business owners, and creators discover what works with social media marketing. He offers courses on Google Display Network, AdWords, Google Data Studio, and more. Mike explains why marketers need to understand artificial intelligence and shares examples that illustrate its impact. You'll also discover how artificial intelligence can automate bidding, targeting, and messaging for your ads. How Artificial Intelligence Is Changing Marketing featuring insights from Mike Rhodes on the Social Media Marketing Podcast. Share your feedback, read the show notes, and get the links mentioned in this episode below. Here are some of the things you'll discover in this show: Early in his career, Mike learned that he loves helping business owners see what's around the corner.


How Artificial Intelligence Is Changing Marketing : Social Media Examiner

#artificialintelligence

Wondering what artificial intelligence features are coming to social media and advertising platforms? Want to know how machine learning can improve your marketing? To explore how artificial intelligence will impact social media marketing, I interview Mike Rhodes. The Social Media Marketing podcast is designed to help busy marketers, business owners, and creators discover what works with social media marketing. He offers courses on Google Display Network, AdWords, Google Data Studio, and more. Mike explains why marketers need to understand artificial intelligence and shares examples that illustrate its impact. You'll also discover how artificial intelligence can automate bidding, targeting, and messaging for your ads. How Artificial Intelligence Is Changing Marketing featuring insights from Mike Rhodes on the Social Media Marketing Podcast. Share your feedback, read the show notes, and get the links mentioned in this episode below. Here are some of the things you'll discover in this show: Early in his career, Mike learned that he loves helping business owners see what's around the corner.