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Elon Musk's non-profit OpenAI wants to build a household robot and AI agents

#artificialintelligence

Tesla CEO Elon Musk's 1bn non-profit artificial intelligence (AI) research firm OpenAI has announced its major technological goals which include creating a household robot, a natural language processing chatbot and an intelligent agent capable of winning any game. Announced in a blog post on 20 June, the firm says "robotics is a good testbed for many challenges in AI". "OpenAI's mission is to build safe AI, and ensure AI's benefits are as widely and evenly distributed as possible," the company says in the blog post authored by Ilya Sutskever, Greg Brockman, Sam Altman, and Elon Musk. "We're trying to build AI as part of a larger community, and we want to share our plans and capabilities along the way. We're also working to solidify our organisation's governance structure and will share our thoughts on that later this year."


Elon Musk May Have A Robot Up His Sleeve

TIME - Tech

A high-profile artificial intelligence research group backed by Elon Musk said it is developing a robot. OpenAI, which formed in December, said on Monday that it's working on creating an "off-the-shelf" robot that others can manufacture. The idea is to design a robot outside of a corporate umbrella as a way to speed innovation without a financial motive. OpenAI is backed by Tesla and SpaceX CEO Elon Musk in addition to other high-profile technology executives and entrepreneurs, including LinkedIn co-founder Reid Hoffman, Sam Altman and Jessica Livingston from startup incubator Y Combinator, and PayPal co-founder Peter Thiel. Artificial intelligence techniques like machine learning, in which algorithms detect patterns by sifting through enormous quantities of data and then act on the findings, have become popular in recent years with companies like Google and Facebook.



Elon Musk's 1 billion nonprofit wants to build a robot to do housework

#artificialintelligence

Elon Musk has built cars and rockets. OpenAI -- the artificial intelligence research nonprofit co-chaired by Tesla Motors CEO Musk and Y Combinator President Sam Altman -- wants to build a robot for your home.


Elon Musk's 1 billion nonprofit wants to build a robot to do housework

#artificialintelligence

Elon Musk has built cars and rockets. OpenAI - the artificial-intelligence research nonprofit cochaired by Tesla Motors CEO Musk and Y Combinator President Sam Altman - wants to build a robot for your home. Building a robot, OpenAI's leadership explains in a blog entry on Monday, is a good way to test and refine a machine's ability to learn how to perform common tasks. By "build," the company means taking a current off-the-shelf robot and customizing it to do housework. "More generally, robotics is a good test bed for many challenges in AI," reads the blog entry.


Im2Latex help โ€ข /r/MachineLearning

@machinelearnbot

Hi everyone, I was inspired by OpenAI's "Requests for Research" project list that was released a few days ago. In particular, I'm trying to tackle Project #2 on their list, Im2Latex. Unfortunately I'm a newbie when it comes to Machine Learning, and I've only completed one online book so far. I'm asking for some tutorials or online resources that could help me learn about some of the following: sequence to sequence models, attention, and in-depth OCR among other things. If you know of any such tutorials please post them here to help steer me in the right direction.


Auxiliary Deep Generative Models

arXiv.org Machine Learning

Deep generative models parameterized by neural networks have recently achieved state-of-the-art performance in unsupervised and semi-supervised learning. We extend deep generative models with auxiliary variables which improves the variational approximation. The auxiliary variables leave the generative model unchanged but make the variational distribution more expressive. Inspired by the structure of the auxiliary variable we also propose a model with two stochastic layers and skip connections. Our findings suggest that more expressive and properly specified deep generative models converge faster with better results. We show state-of-the-art performance within semi-supervised learning on MNIST, SVHN and NORB datasets.


Android N new notification changes, OpenAI to publish Requests for Research, and Micro Focus announces new test automation solution--SD Times news digest: June 9, 2016 - SD Times

#artificialintelligence

Android N notifications are getting a new look to help provide a better user experience. They now have a fresh look, improved for custom views, and expanded functionality in the forms of Direct Reply. The default look and feel of notifications has changed, and now the fields around the notifications have been collapsed into a new header row with the app's icon and name anchoring the notification, according to Android developer advocate Ian Lake on the Android Developers Blog. This makes the title, text and large icon have a lot of space, and now the notifications are slightly larger and easier to read. Notification actions have also received a redesign and are now in a visually separate bar below the notification, according to the blog.


How will open source AI change the tech industry?

#artificialintelligence

Elon Musk is getting involved in AI, too, by supporting OpenAI, a non-profit research company focused on advancing digital intelligence for the common good. "Elon Musk has launched the OpenAI project with a star-studded list of backers โ€“ Palantir CEO Peter Thiel, LinkedIn founder Reid Hoffman and Y Combinator president Sam Altman," says an impressed Jones. OpenAI is headed up by machine learning expert Ilya Sutskever, ex-Google Brain Team member, and has just opened the OpenAI Gym in beta to help developers working with'reinforced learning', a type of machine learning that's central to AI. Essentially, it's about getting software to alter its behaviour in a dynamic environment in order to get a reward (you can't give Siri a biscuit every time she'found this on the web'). The arrival of AI means a changing of the guard in the tech industry, with disruption, innovation โ€“ and the complete domination of the cloud. Expertise, not investment, will become king.


Google's art machine just wrote its first song

#artificialintelligence

Today, Google's newest machine learning project released its first piece of generated art, a 90-second piano melody created through a trained neural network, provided with just four notes up front. The drums and orchestration weren't generated by the algorithm, but added for emphasis after the fact. It's the first tangible product of Google's Magenta program, which is designed to put Google's machine learning systems to work creating art and music systems. The program was first announced at Moogfest last week. Along with the melody, Google published a new blog post delving into Magenta's goals, offering the most detail yet on Google's artistic ambitions.