Friday, March 4, 2016

Weekly Review 4 March 2016

Some interesting links that I Tweeted about in the last week:
  1. A short history of machine learning: http://www.datasciencecentral.com/profiles/blogs/a-short-history-of-machine-learning
  2. Machines predicting human behaviour by reading (a lot of) fiction: https://thestack.com/cloud/2016/02/26/computers-read-1-8-billion-words-of-fiction-to-learn-how-to-anticipate-human-behaviour/
  3. Helping the disabled with artificial intelligence: http://www.kdnuggets.com/2016/03/data-science-disability.html 
  4. Chips made of biological neurons: http://motherboard.vice.com/en_au/read/komiku-neuron-computer-agabi
  5. I am so glad that I left Australia four years ago - I couldn't publish my research under these rules https://theconversation.com/new-defence-trade-controls-threaten-academic-freedom-and-the-economy-55310
  6. AI won't save us from the bad guys in computer security http://www.theregister.co.uk/2016/03/01/security_ai_rsa_boss/ 
  7. TensorFlow now does distributed computing http://www.kdnuggets.com/2016/03/distributed-tensorflow-arrived.html 
  8. The key to good teamwork is being nice, according to a many-year study by Google: http://qz.com/625870/after-years-of-intensive-analysis-google-discovers-the-key-to-good-teamwork-is-being-nice/ 
  9. How to get into a career in machine learning: http://www.datasciencecentral.com/profiles/blogs/repost-xavier-amatriain-how-should-one-start-a-career-in-machine- 
  10. Principal component analysis in R: http://www.bigdatanews.com/profiles/blogs/principal-component-analysis-using-r 
  11. Feature selection in Python using scikit-feature http://www.kdnuggets.com/2016/03/scikit-feature-open-source-feature-selection-python.html 
  12. Hacking systems with AI: http://www.theguardian.com/technology/2016/mar/03/artificial-intelligence-hackers-security-autonomous-learning
  13. How do you control a super-smart AI? http://www.theregister.co.uk/2016/03/04/controlling_smart_ai_systems/
  14. Lecture on different deep-learning packages: http://cs231n.stanford.edu/slides/winter1516_lecture12.pdf