Weeky Review 2 June 2017

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

1. An interview on how deep learning is used to infer human emotions: https://www.oreilly.com/ideas/how-ai-is-used-to-infer-human-emotion
2. Why quantum computing is necessary for the future of AI: http://theinstitute.ieee.org/ieee-roundup/blogs/blog/artificial-intelligences-potential-will-be-realized-by-quantum-computing 
3. Who is liable when an AI misdiagnoses a patient? https://qz.com/989137/when-a-robot-ai-doctor-misdiagnoses-you-whos-to-blame/ A society being over-litigious makes this a problem.
4. Shifting jobs in IT - what is going to become obsolete, and what is going to become more important: http://www.infoworld.com/article/3196022/it-careers/the-working-dead-it-jobs-bound-for-extinction.html
5. AlphaGo has defeated the world's best human Go player: https://www.theguardian.com/technology/2017/may/23/alphago-google-ai-beats-ke-jie-china-go
6. "Music" composed by a neuromorphic chip: http://spectrum.ieee.org/tech-talk/robotics/artificial-intelligence/a-neuromorphic-chip-that-makes-music 
7. AI in healthcare works better alongside humans, not replacing them: http://www.informationweek.com/healthcare/analytics/ai-works-better-with-human-intelligence-too/d/d-id/1328903?
8. The relationship between AI and statistics (and abuse thereof): http://www.theregister.co.uk/2017/05/24/fear_of_statistics/ 
9. AlphaGo has defeated the world's best human Go player in 3 out of 3 matches: https://techcrunch.com/2017/05/24/alphago-beats-planets-best-human-go-player-ke-jie/ 
10. Time for academics to again control academic journals, rather than greedy, predatory corporations: https://www.theguardian.com/higher-education-network/2017/may/25/its-time-for-academics-to-take-back-control-of-research-journals 
11. Using facial recognition technology to track if students are paying attention to a lecture: https://www.theverge.com/2017/5/26/15679806/ai-education-facial-recognition-nestor-france 
12. A list of free tools for visualising data: http://computerworld.com/article/2507728/enterprise-applications/enterprise-applications-22-free-tools-for-data-visualization-and-analysis.html
13. How could we tell if a general AI were truly conscious? http://spectrum.ieee.org/computing/hardware/can-we-quantify-machine-consciousness 
14. Applying deep learning to sports analytics: https://www.datanami.com/2017/05/26/deep-learning-revolutionize-sports-analytics-heres/ 
15. Is Apple developing a neural network chip? https://www.theverge.com/2017/5/26/15702248/apple-neural-engine-ai-chip-iphone-ipad 
16. Not so much racist algorithms, as the benchmark data sets are lacking diversity: https://www.theguardian.com/technology/2017/may/28/joy-buolamwini-when-algorithms-are-racist-facial-recognition-bias 
17. An AI that detects other AI: https://motherboard.vice.com/en_us/article/this-dystopian-wearable-detects-ais-pretending-to-be-humans 
18. Brief explanation of what an ontology is: http://www.kdnuggets.com/2017/05/ontology-simplest-definition.html 
19. Quite a bit of disagreement over when AI will overtake humans: http://www.theregister.co.uk/2017/05/26/job_automation_by_ai_timeline/ 
20. Why it's a silly idea to try to teach everyone to code: http://www.techrepublic.com/article/why-the-notion-that-everyone-should-learn-to-code-is-complete-rubbish/ 
21. The challenges of identifying trust with machine learning: http://www.kdnuggets.com/2017/05/challenges-machine-learning-trust.html 
22. The second wave of AI, and how it will impact humanity: http://www.techrepublic.com/article/why-ai-will-force-businesses-to-rethink-balance-between-the-work-of-humans-and-machines/ 
23. Nuts-ml, a Python library intended to preprocess data for machine learning algorithms: http://www.kdnuggets.com/2017/05/data-pre-processing-deep-learning-nuts-ml.html 
24. How Google is using machine learning to improve security in GMail: http://www.techrepublic.com/article/google-looks-to-machine-learning-to-boost-security-in-gmail/
25. Is China going to outstrip the USA in AI? https://www.nytimes.com/2017/05/27/technology/china-us-ai-artificial-intelligence.html?_r=1
26. A system that uses a neural network to generate code from a screenshot of a GUI: https://siliconangle.com/blog/2017/05/28/startup-uses-ai-create-gui-source-code-simple-screenshots/
27. The New Zealand AI Forum is launching: http://www.nzherald.co.nz/business/news/article.cfm?c_id=3&objectid=11867287