Weekly Review 3 June 2016

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

1. Tips for building a successful AI platform, from Facebook's director of machine learning: http://www.techrepublic.com/article/facebooks-machine-learning-director-shares-tips-for-building-a-successful-ai-platform/
2. Hooray! From 2020, all EU-funded research must be published as open-access. Will more governments follow? http://techcrunch.com/2016/05/27/eu-mandates-open-access-for-all-publicly-funded-research-by-2020/
3. Point-and-click bot-building: http://venturebeat.com/2016/05/26/motion-ai-lets-anyone-easily-build-a-bot/
4. Most Americans don't trust AI: http://www.digitaltrends.com/cool-tech/ai-system-trust/#:YvuruZwzPeTsCA I suspect that would apply to people in most countries.
5. An early prototype system using machine learning to detect potholes for visually-impaired people: http://spectrum.ieee.org/the-human-os/biomedical/devices/pothole-detection-for-the-visually-impaired?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+IeeeSpectrum+%28IEEE+Spectrum%29&utm_content=FaceBook
6. Basically, everyone is pirating papers - open access is the way ahead https://theconversation.com/is-it-piracy-how-students-access-academic-resources-55712
7. Personally, I think AI is a long way from the real thing: http://www.cnet.com/news/artificial-intelligence-getting-as-good-as-the-real-thing/
8. Communicating technical ideas to non-technical people - I've found the same principles apply in teaching http://www.datasciencecentral.com/profiles/blogs/tips-for-effectively-communicating-complex-ideas-to-non-technical
9. Designing for an AI-enhanced experience: http://www.tandemseven.com/blog/designing-for-ai-enhanced-experiences/
10. How IBM's Watson can contribute to education: http://www.techinsider.io/how-watson-ai-can-transform-education-2016-5
11. When an AI can explain to a fresher how an AI works, I will be worried about my job: http://www.edtechmagazine.com/higher/article/2015/02/artificial-intelligence-and-robotics-slowly-enter-college-classrooms
12. 57% of jobs are at risk of being replaced by AI and robots: http://techcrunch.com/2016/05/29/human-obsolescence-are-we-ready-for-an-artificially-intelligent-future/
13. Machines are going to take all of our jobs: http://www.neowin.net/news/a-robot-is-about-to-take-over-my-job-then-hes-coming-after-yours
14. Recurrent neural networks in TensorFlow: http://www.kdnuggets.com/2016/05/intro-recurrent-networks-tensorflow.html
15. Natural language processing for a movie recommendation system: http://techcrunch.com/2016/05/31/this-facebook-bot-will-pick-your-next-movie-for-you/
16. How machine learning is transforming parts of every day life: http://www.information-management.com/blogs/big-data-analytics/machine-learning-has-transformed-many-aspects-of-everyday-life-10028943-1.html
17. Why we should care about how people interact with machine learning systems: http://www.kdnuggets.com/2016/05/interacting-machine-learning.html
18. Why everyone needs to understand machine learning: https://www.weforum.org/agenda/2016/05/why-you-need-to-understand-machine-learning
19. The argument that AI will augment, rather than replace, people in the workplace: http://www.techrepublic.com/article/robots-beware-humans-will-still-be-bosses-of-machines-say-davenport-and-kirby-in-new-book/
20. How Facebook is using AI to flag offensive images: http://techcrunch.com/2016/05/31/terminating-abuse/
21. Who is going to win the race to monetise AI? http://www.cio.com/article/3076154/internet-of-things/the-race-to-monetize-artificial-intelligence-is-on.html
22. List of resources for machine learning and data science in R and Python: http://www.datasciencecentral.com/profiles/blogs/hitchhiker-s-guide-to-data-science-machine-learning-r-python
23. DARPA is seeking a mathematical framework on the limitations of machine learning: http://nextbigfuture.com/2016/05/darpa-seeks-mathematical-framework-to.html
24. Using a social media bot: http://motherboard.vice.com/en_au/read/i-let-a-robot-take-over-my-social-media-for-48-hours
25. How SAP is using machine learning to help transition its customers to the cloud: http://www.techrepublic.com/article/sap-invests-in-machine-learning-to-simplify-customer-transition-to-cloud/
26. It's far to early to start regulating AI: https://www.technologyreview.com/s/601563/what-to-do-when-a-robot-is-the-guilty-party/
27. First example of music produced by Google's AI: http://techcrunch.com/2016/06/01/google-ai-produces-a-melody-that-rivals-the-casio-keyboard-concerts-of-our-youth/
28. An article on DeepText, Facebook's text-processing natural language system: http://techcrunch.com/2016/06/01/facebook-deep-text/
29. Some more details on Facebook's DeepText: https://code.facebook.com/posts/181565595577955/introducing-deeptext-facebook-s-text-understanding-engine/
30. Artificially intelligent headphones. Seriously. http://techcrunch.com/2016/06/01/first-look-lifebeams-artificially-intelligent-headphones-for-that-her-like-workout/
31. Which AI company is Elon Musk most scared of? http://www.theverge.com/2016/6/2/11837566/elon-musk-one-ai-company-that-worries-me
32. How Bill Gates sees AI as the "holy grail": http://mashable.com/2016/06/01/bill-gates-ai-code-conference/#odjE.UnZcOqc
33. On the democratisation of machine learning: http://www.datasciencecentral.com/profiles/blogs/machine-learning-is-dead-long-live-machine-learning
34. An overview of logistic regression: http://www.analyticbridge.com/profiles/blogs/making-data-science-accessible-logistic-regression
35. More about Project Magenta, Google artistic AI: http://www.informationweek.com/big-data/big-data-analytics/googles-magenta-project-can-machines-be-musicians/a/d-id/1325752?
36. A howto on building a deep learning box: http://www.kdnuggets.com/2016/06/build-deep-learning-box.html
37. CISCO is planning on using IBM's Watson AI to analyse data from the IoT: http://techcrunch.com/2016/06/02/ibm-cisco-iot/
38. Google's AI is the best, according to CEO Sundar Pichai: http://www.informationweek.com/iot/googles-sundar-pichai-our-ai-beats-competitors-ai/a/d-id/1325758
39. The "barbell effect" of machine learning - how the benefits of AI will be driven to extreme ends: http://techcrunch.com/2016/06/02/the-barbell-effect-of-machine-learning/