This article is primarily for people with a background in technology and software engineering wanting to learn about AI. Topics include artificial intelligence, machine learning, deep learning, artificial neural networks, reinforcement learning and more machine learning related concepts.
Articles about AI for the General Audience
- The AI Revolution: The Road to Superintelligence by Tim Urban: January 22, 2015
- The AI Revolution: Our Immortality or Extinction by Tim Urban: January 27, 2015
- Everything You Know About Artificial Intelligence is Wrong : Gizmodo: 2016 March 14
AI In Digital Media, News, and Journalism
- This News-Writing Bot Is Now Free for Everyone | WIRED, Oct 20, 2015
- Don’t Panic, but This Article Was Written by an Algorithm : July 27, 2015
- This Bot Has Written More Wikipedia Articles Than Anybody : Popular Science: Jul 14, 2014
AI In The News
- AlphaGo: Mastering the ancient game of Go with Machine Learning : Google Research Blog: Wednesday, January 27, 2016
- Microsoft releases CNTK, its open source deep learning toolkit, on GitHub : Microsoft Blog: January 25, 2016
- Minecraft to run artificial intelligence experiments : BBC News: 14 March 2016
Education & Tutorials for Technologists
- Teach Yourself Deep Learning with TensorFlow and Udacity : Google Research Blog: Thursday, January 21, 2016
- Machine Learning course from Stanford University at Coursera
- Course on Convolutional Neural Networks: Stanford University
Resources for Software Engineers
Open Source AI Toolkits for Software Developers
- Microsoft Computational Network Toolkit
- Google Tensorflow: an Open Source Software Library for Machine Intelligence
- IBM Watson Developer Community
Books
- Deep Learning Book by MIT Press (free)
- Neural Networks and Deep Learning book (free)
Videos
How smart is today’s artificial intelligence? By PBS NewsHour
Video: What is artificial intelligence? – BBC News
What is artificial intelligence? King’s College London
Video: What happens when our computers get smarter than we are? | Nick Bostrom
Here is the original Google Document that this blog post is based on.