Review for 3 February 2017

Below are some of the interesting links I Tweeted about recently.

1. Finding exploits in AIs: http://www.theregister.co.uk/2017/01/24/summoning_demons_to_find_bugs/
2. Ways of integrating machine learning into chatbots: http://www.kdnuggets.com/2017/01/chatbots-steroids-10-key-machine-learning-capabilities.html
3. Paper on finding exploits in AIs: https://www.semanticscholar.org/paper/Summoning-Demons-The-Pursuit-of-Exploitable-Bugs-Stevens-Suciu/419680923e9e80001ae543d460119f3f5f7ec8b7 
4. Looks like Beall's lists were forced offline by legal threats: https://www.insidehighered.com/news/2017/01/18/librarians-list-predatory-journals-reportedly-removed-due-threats-and-politics 
5. Counting crowds with deep learning: http://spectrum.ieee.org/tech-talk/robotics/artificial-intelligence/ai-could-transform-the-science-of-counting-crowds 
6. 5 big data trends shaping AI this year: http://www.techrepublic.com/article/5-big-data-trends-that-will-shape-ai-in-2017/ 
7. Is Google going to bring machine learning to the Raspberry Pi? http://www.zdnet.com/article/google-is-bringing-ai-to-your-raspberry-pi/ 
8. A deep learning convolutional ANN can identify skin cancer as well as a dermatologist: http://spectrum.ieee.org/the-human-os/biomedical/diagnostics/computer-diagnoses-skin-cancers 
9. Sounds like Bayesian search theory-using swarm AI for market research: http://www.techrepublic.com/article/how-to-use-swarm-a-i-instead-of-polls-for-market-research/ 
10. The poker-playing AI is getting better: http://www.theverge.com/2017/1/25/14358246/ai-poker-tournament-cmu-libratus-vs-human-losing 
11. Brief overview of AI in chatbots: http://www.kdnuggets.com/2017/01/artificial-intelligence-speech-recognition-chatbots-primer.html 
12. Calls for an independent watchdog group to prevent discriminatory uses of AI: https://www.theguardian.com/technology/2017/jan/27/ai-artificial-intelligence-watchdog-needed-to-prevent-discriminatory-automated-decisions 
13. I've been saying this for years-you can't put bad data into a good algorithm and expect a good model: http://www.kdnuggets.com/2017/01/bad-data-good-models-bad-results.html 
14. Using ANN to manipulate images of peoples' faces: http://www.theverge.com/tldr/2017/1/27/14412814/faceapp-neural-networks-ai-smile-image-manipulation 
15. A cheat-sheet for manipulating data in Python using Pandas: http://www.kdnuggets.com/2017/01/pandas-cheat-sheet.html 
16. Where is DeepMind's AI ethics board? https://www.theguardian.com/technology/2017/jan/26/google-deepmind-ai-ethics-board 
17. How scientists use social media: https://www.eurekalert.org/pub_releases/2016-10/uoo-nsr101216.php
18. How will the courts deal with AI? https://techcrunch.com/2017/01/28/artificial-intelligence-and-the-law/ 
19. 6 areas of AI & ML to watch: http://www.kdnuggets.com/2017/01/6-areas-ai-machine-learning.html 
20. Sounds like we need more standards like FuzzyML: https://techcrunch.com/2017/01/28/ais-open-source-model-is-closed-inadequate-and-outdated/ 
21. Using machine learning to decipher the ancient Indus script: http://www.theverge.com/2017/1/25/14371450/indus-valley-civilization-ancient-seals-symbols-language-algorithms-ai 
22. Kinda embarressed that my country gave this guy citizenship: https://techcrunch.com/2017/01/26/peter-thiel-new-zealand-citizen/ 
23. IBM's PowerAI ML framework now has support for TensorFlow: https://techcrunch.com/2017/01/26/ibm-adds-support-for-googles-tensorflow-to-its-powerai-deep-learning-framework/ 
24. Putting an intelligent machine in its place: https://techcrunch.com/2017/01/14/putting-the-intelligent-machine-in-its-place/ 
25. 5 big data trends shaping AI in 2017: http://www.techrepublic.com/article/5-big-data-trends-that-will-shape-ai-in-2017/ 
26. An AI is now beating Poker champions: https://www.theguardian.com/technology/2017/jan/30/libratus-poker-artificial-intelligence-professional-human-players-competition 
27. What we should do to avoid an AI-catastrophe, according to Elon Musk: http://www.cnbc.com/2017/01/31/elon-musk-thinks-we-will-have-to-use-ai-this-way-to-avoid-a-catastrophic-future.html 
28. Why deep learning? https://www.datanami.com/2017/01/30/deep-learning-now/ 
29. List of140 formulae related to machine learning: https://drive.google.com/file/d/0B0RLknmL54khQlhGUzFUWEtncTA/view 
30. An AI that diagnoses cataracts as well as opthamologists do: http://spectrum.ieee.org/the-human-os/biomedical/diagnostics/ophthalmologists-vs-ai-its-a-tie 
31. Facebook's approach to evaluating general AI: https://techcrunch.com/2017/02/01/how-facebook-plans-to-evaluate-its-quest-for-generalized-artificial-intelligence/ 
32. Not so much a boycott for me, more too scared to set foot in the USA as a foreigner with that nutter in charge: https://www.insidehighered.com/news/2017/01/31/protest-trump-entry-ban-some-scholars-are-boycotting-us-based-conferences