This is part II of my journey back into SOMs.
First Facebook built a world-class machine-vision team. Now it’s turning algorithms into products, with much more to come.
“Drawing on your phone or computer can be slow and difficult — so we created AutoDraw, a new web-based tool that pairs machine learning with drawings created by talented artists to help you draw,” wrote Google Creative Lab’s “creative technologist,” Dan Motzenbecker, earlier this week.
Twenty years after famously losing to Deep Blue, chess champion Garry Kasparov says that it’s time to embrace AI and its liberating potential.
Not only is Elon’s new venture—Neuralink—the same type of deal, but six weeks after first learning about the company, I’m convinced that it somehow manages to eclipse Tesla and SpaceX in both the boldness of its engineering undertaking and the grandeur of its mission.
China’s leading search engine hopes to speed development of autonomous driving and draw carmakers to its services.
CBR talks to Bloomberg about a bold open source and machine learning project which aimed to improve Bloomberg Terminal search rankings.
Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.
I’ve found that the overwhelming majority of online information on artificial intelligence research falls into one of two categories: the first is aimed at explaining advances to lay audiences, and the second is aimed at explaining advances to other researchers.
I have to tell you about the Kalman filter, because what it does is pretty damn amazing.
Visual Dialog is a novel task that requires an AI agent to hold a meaningful dialog with humans in natural, conversational language about visual content. Specifically, given an image, a dialog history, and a follow-up question about the image, the agent has to answer the question.
This is a blog post about our latest paper, Get To The Point: Summarization with Pointer-Generator Networks, to appear at ACL 2017.
The search giant plans to reach a milestone in computing history before the year is out.
So is it possible to use a neural network to recognize characters in CAPTCHA images? These images usually contain multiple characters and have varies distractions.
Caffe2 is a portable, scalable open source deep learning framework from Facebook made with expression, speed, and modularity in mind.
tackling the same problem of style transfer between Chinese fonts.
GitHub - deepmind/dnc: A TensorFlow implementation of the Differentiable Neural Computer.
dnc - A TensorFlow implementation of the Differentiable Neural Computer.