Weekly Review 29 April 2016

Some interesting links that I Tweeted about in the last week:

1. So they're going to have a tournament for AI Doom-bots: http://www.theverge.com/2016/4/22/11486164/ai-visual-doom-competition-cig-2016
2. Deep learning vs SVM vs random forest - when is deep learning best? http://www.kdnuggets.com/2016/04/deep-learning-vs-svm-random-forest.html
3. Seems to be a degree of AI involved in detecting scam emails: http://spectrum.ieee.org/telecom/security/fighting-todays-targeted-email-scams
4. Brief intro to unstructured data mining, especially text mining: https://icrunchdatanews.com/unstructured-data-mining-primer/?utm_source=twitter&utm_medium=social&utm_campaign=SocialWarfare
5. Predictive modelling of police misconduct: https://www.technologyreview.com/s/601003/police-will-soon-be-watched-by-algorithms-that-try-to-predict-misconduct-is-that-a-good/?utm_content=buffera219f&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
6. Predicting heart failure with deep learning-wonder if it could have saved my father? https://blogs.nvidia.com/blog/2016/04/11/predict-heart-failure/
7. We won't lose our jobs to robots/AI, but we will have to work beside them: http://www.computerworld.com/article/3060096/robotics/get-ready-for-your-new-co-worker-the-robot.html
8. 7 steps to learning R: http://www.datasciencecentral.com/profiles/blogs/learning-r-in-seven-simple-steps 
9. An archivist's guide to organising files on your computer: https://www.insidehighered.com/blogs/gradhacker/organize-your-computer-help-archivist
10. Is Google DeepMind going to take on Star Craft next? http://www.businessinsider.com.au/google-deepmind-could-play-starcraft-2016-3?r=US&IR=T
11. Google CEO Sundar Pichai thinks that the next big thing, after mobile, will be AI: http://www.computerworld.com/article/3060285/cloud-computing/googles-ceo-sees-ai-as-the-next-wave-in-computing.html
12. An overview of Schmidhuber's 2014 review of deep learning neural networks: http://www.kdnuggets.com/2016/04/deep-learning-neural-networks-overview.html 
13. Generating dance with deep learning neural networks: http://www.extremetech.com/extreme/227287-deep-learning-neural-network-creates-its-own-interpretive-dance
14. Deep learning that preserves privacy: http://techemergence.com/google-invests-in-privacy-preserving-deep-learning/
15. More 'human like' image captioning with recurrent neural networks: https://www.technologyreview.com/s/601339/will-artificial-intelligence-win-the-caption-contest/
16. Implementing a convolutional neural network for image recognition on a simulation of Babbage's analytical engine: http://motherboard.vice.com/en_au/read/charles-babbages-analytical-engine-takes-on-deep-learning
17. ANN and the future of machine learning: http://insidebigdata.com/2016/04/25/neural-networks-and-the-future-of-machine-learning/
18. Machine learning in conservation and environmental protection: http://ensia.com/features/three-ways-artificial-intelligence-is-helping-to-save-the-world/ I was doing this kind of thing eleven years ago!
19. Applying deep learning in self-driving cars: http://spectrum.ieee.org/cars-that-think/transportation/self-driving/driveai-brings-deep-learning-to-selfdriving-cars/?utm_source=CarsThatThink&utm_medium=Newsletter&utm_campaign=CTT04272016
20. AI could be humanity's last innovation, says UN Chief IT Officer: http://www.techrepublic.com/article/united-nations-cito/
21. A neural network chip on a USB stick: http://www.theverge.com/2016/4/28/11510430/movidius-fathom-neural-compute-stick-myriad-2-chip also http://www.theregister.co.uk/2016/04/29/neural_network_on_a_stick/ How many sticks can you access at once?
22. A convolutional neural network that simplifies sketches: http://hi.cs.waseda.ac.jp/~esimo/en/research/sketch/
23. Colourising old photos with deep learning neural networks: http://techemergence.com/ai-is-colorizing-and-beautifying-the-world/
24. Another basic explanation of deep learning neural networks: http://www.datasciencecentral.com/profiles/blogs/deep-learning-demystified
25. Are engineers creating their own replacements? http://spectrum.ieee.org/at-work/tech-careers/are-engineers-designing-their-robotic-replacements
26. Elon Musk's OpenAI initiative: http://www.wired.com/2016/04/openai-elon-musk-sam-altman-plan-to-set-artificial-intelligence-free/