Stephen Hawking Finally Revealed His Plan for Preventing an AI Apocalypse

Stephen Hawking Finally Revealed His Plan for Preventing an #AI Apocalypse  via @Futurism

  • Hawking has expressed his opinions about topics that range from extraterrestrial life to artificial intelligence (AI), and of the latter, he has serious misgivings.
  • But like many other scientists and thinkers in today’s world, Hawking is concerned that the rise of AI is bringing with it various negative side effects.
  • He’s also worried that AI may take over the world or, worse yet, end it.
  • Our best bet against this AI uprising, he now tells The Times, is the creation of “some form of world government” that could control the technology.
  • Those institutions, such as the Partnership on AI and the Ethics and Governance of Artificial Intelligence Fund (or AI Fund), have begun developing guidelines or frameworks for developing AI more conscientiously.

This would prevent tech from destroying humanity.
Continue reading “Stephen Hawking Finally Revealed His Plan for Preventing an AI Apocalypse”

danielvarga comments on [R] [1701.07875] Wasserstein GAN

Wasserstein GANs pretty aptly summarized in this reddit comment:

  • subreddit: subreddit find submissions in “subreddit” author: username find submissions by “username” site: example.com find submissions from “example.com” url: text search for “text” in url selftext: text search for “text” in self post contents self:yes (or self:no) include (or exclude) self posts nsfw:yes (or nsfw:no) include (or exclude) results marked as NSFW
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  • created by kunjaan a community for 7 years

* For mathematicians: it uses Wasserstein distance instead of Jensen-Shannon divergence to compare distributions. * For engineers: it gets rid of…
Continue reading “danielvarga comments on [R] [1701.07875] Wasserstein GAN”

AI + Cognitive IoT + Blockchain = Intelligent Connected Products [Video]

#AI + #Cognitive #IoT + #Blockchain = Intelligent Connected Products [Video]

  • The IoT Zone is brought to you in partnership with GE Digital .
  • It might sound like a mishmash of buzzwords, but as technology evolves, look to merging blockchain, AI, and the Internet of Things to add intelligence to products.
  • I covered a variety of topics, including deep learning, computer vision at the edge for security/surveillance, and cognitive IoT – all with a heaping helping of blockchain-as-a-service for added compliance and security.
  • Discover how IoT developers are using Predix to disrupt traditional industrial development models .
  • I’m putting up my technical talk from IoTNext, where I talked about applying intelligence at the edge gateway and the cloud.

It might sound like a mishmash of buzzwords, but as technology evolves, look to merging blockchain, AI, and the Internet of Things to add intelligence to products.
Continue reading “AI + Cognitive IoT + Blockchain = Intelligent Connected Products [Video]”

[Project] All Code Implementations for NIPS 2016 papers • /r/MachineLearning

  • [R] Understanding How Image Quality Affects Deep Neural Networks
  • [R] [1612.04530] Permutation-equivariant neural networks applied to dynamics prediction

I want to compile a comprehensive list of all the available code repos for the NIPS 2016’s top papers. Please add to the list! 1. Using Fast…
Continue reading “[Project] All Code Implementations for NIPS 2016 papers • /r/MachineLearning”

Slack is watching how you work

Slack is watching how you work

  • The lieutenant governor is sitting down with Kara Swisher at the Code Enterprise conference.
  • “What we’re starting to build is what we’re internally calling our work graph,” Noah Weiss, Slack’s head of search and intelligence, said at the Code Enterprise conference in San Francisco on Tuesday.
  • The idea may be a little creepy, but Weiss believes Slack can eliminate a lot of the wasted time that people spend trying to locate information or prioritize their time.
  • “Most knowledge work is a game of telephone,” Weiss said.
  • The service will already make channel recommendations to some users, and Weiss says it’s starting to test message rankings, too, so that people know who to respond to first when they’re in a time pinch.

The company wants to use AI to simplify your work conversations.
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Machine learning infographic

The amount of data stored in petabytes #bigdata #machinelearning

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  • Copyright © 2016 The Royal Society.
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Find out more about machine learning through interactive tests and examples and share your results on twitter on facebook.
Continue reading “Machine learning infographic”

Machine Learning Unconference

Like AI? Come to the @OpenAI machine learning unconference  < grants available!

  • Software engineers using machine learning in applications or building machine learning infrastructure.
  • Please join us for our first Machine Learning Unconference, an experimental gathering driven by its participants rather than an organizing committee.
  • OpenAI is sponsoring and hosting the event, but the event itself has no official organization – it’s just people who find this invitation interesting, meeting to discuss machine learning.
  • We’d like to try instead hosting an event focused on the most valuable part of any conference: the people.
  • We’re particularly excited to support women, minorities, and members of other groups underrepresented in machine learning.

Read the full article, click here.


@jackclarkSF: “Like AI? Come to the @OpenAI machine learning unconference < grants available!”


Machine learning is moving incredibly quickly. To keep up, many
practioners spend several weeks a year at conferences. However,
conference presentations are all on work submitted months prior,
meaning that people are already intimately familiar with the content
(and it’s often already been surpassed).


Machine Learning Unconference

Register Now for the First Microsoft Data Science Summit

More info on the Microsoft #DataScience Summit:  - register today #MachineLearning #BigData

  • Click to register for the Microsoft Data Science Summit .
  • I am super excited about the very first Microsoft Data Science Summit , to be held in Atlanta on September 26-27, 2016, and invite all data scientists, big data engineers and machine learning practitioners among you to attend.
  • You will also have an opportunity to network with other data scientists and software engineers .
  • Posted by Joseph Sirosh, Corporate Vice President of the Data Group at Microsoft.
  • How to handle Real-Time and Streaming Data .

Read the full article, click here.


@josephsirosh: “More info on the Microsoft #DataScience Summit: – register today #MachineLearning #BigData”


I am super excited about the very first Microsoft Data Science Summit, to be held in Atlanta on September 26-27, 2016, and invite all data scientists, big data engineers and machine learning practitioners among you to attend.


Register Now for the First Microsoft Data Science Summit

Introduction to Machine Learning with Hands-On Labs

Get an introduction to #MachineLearning w/ hands-on labs, experiments & more:

  • The content is designed for audience without any prior Machine learning knowledge.
  • Hands on labs to show Machine Learning service, developing experiments, feature engineering, R, Python Scripting, Production, RRS, BES
  • It starts from very basics and goes to advanced topics.
  • Introduction to Machine Learning with Hands-On Labs
  • Privacy and Cookies Terms of Use © Microsoft

Read the full article, click here.


@MSAdvAnalytics: “Get an introduction to #MachineLearning w/ hands-on labs, experiments & more:”


Hands on labs to show Machine Learning service, developing experiments, feature engineering, R, Python Scripting, Production, RRS, BES


Introduction to Machine Learning with Hands-On Labs

GitHub

Hands-on #machinelearning labs on @github? Oh, yeah, we got that!

  • Evaluate a Binary classification model
  • Consume the ML Web Service in a C# application
  • Comparing two binary classification model
  • Publishing a trained model as Web Service
  • Lab4 – Develop and Consume AzureML Models

Read the full article, click here.


@MicrosoftR: “Hands-on #machinelearning labs on @github? Oh, yeah, we got that!”


hol-azure-machine-learning – Introduction to Machine Learning and Azure Machine Learning Services. Hands on labs to show Azure Machine Learning features, developing experiments, feature engineering, R and Python Scripting, Production stage, publishing models as web service, RRS and BES usage


GitHub