- 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”
- 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
- you are viewing a single comment’s thread.
- REDDIT and the ALIEN Logo are registered trademarks of reddit inc.
- 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”
- 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]”
- [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”
- Connect with us: Connect on Facebook Connect on Twitter Connect on YouTube Connect on LinkedIn Connect on Pinterest
- Stay in touch: Email updates | Blogs | Podcasts and RSS feeds
- Copyright © 2016 The Royal Society.
- Skip to content
Find out more about machine learning through interactive tests and examples and share your results on twitter on facebook.
Continue reading “Machine learning infographic”
- 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