Tuesday, March 28, 2017

Review for 27 March 2017

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

  1. Why big, wealthy companies are the primary beneficiaries of machine learning: http://www.techrepublic.com/article/why-machine-learning-benefits-the-rich-and-everyone-else-is-toast/
  2. How to interpret the R-squared metric in regression: http://www.datasciencecentral.com/profiles/blogs/regression-analysis-how-do-i-interpret-r-squared-and-assess-the 
  3. The impact of machine learning on healthcare: https://techcrunch.com/2017/03/16/advances-in-ai-and-ml-are-reshaping-healthcare/ Genomics is still the major application area.
  4. Stroke prediction with AI: https://techcrunch.com/2017/03/16/alivecor-built-an-ai-stroke-prevention-platform-with-30-million-from-omron-and-the-mayo-clinic/ I examined a PhD thesis on this topic 4 years ago.
  5. A matrix of deep learning resources: http://www.datasciencecentral.com/profiles/blogs/deep-learning-resource-matrix 
  6. New chips from ARM for AI: https://techcrunch.com/2017/03/20/arms-dynamiq-chips/ Not clear which algorithms they implement, though.
  7. I disagree, NZ student loans are just a tax on the educated, better to scrap them completely & subsidise students: http://m.nzherald.co.nz/nz/news/article.cfm?c_id=1&objectid=11821848 
  8. Using reinforcement learning in hedge funds: https://techcrunch.com/2017/03/21/aihedgefund/
  9. Predictions for AI in 2017: http://www.theregister.co.uk/2017/03/21/whats_next_in_ai/ 
  10. AI is definitely caught in a hype cycle: http://computerworld.com/article/3183140/android/samsung-bixby-artificial-intelligence.html
  11. Graph databases, maths, and machine learning: https://www.theregister.co.uk/2017/03/17/the_big_ideas_behind_graph_databases/ 
  12. The importance of data analysis in machine learning: http://www.datasciencecentral.com/profiles/blogs/how-to-use-data-analysis-for-machine-learning-example-part-1 
  13. Education, health and social care are the areas least likely to be affected by AI and automation: https://www.theguardian.com/technology/2017/mar/24/millions-uk-workers-risk-replaced-robots-study-warns 
  14. Is AI really going to displace human workers? http://m.nzherald.co.nz/technology/news/article.cfm?c_id=5&objectid=11825496 
  15. Academic promotion is based on research outputs & funding, of course it takes priority over teaching: https://www.odt.co.nz/news/campus/university-of-otago/research-not-priority-over-education
  16. Dance Dance Convolution, using ML to choreograph dance game steps: http://www.theregister.co.uk/2017/03/24/ai_enters_dance_dance_revolution/ 
  17. Paper on Dance Dance Convolution: https://arxiv.org/abs/1703.06891 
  18. Tech destroys jobs, but also creates jobs: https://techcrunch.com/2017/03/26/technology-is-killing-jobs-and-only-technology-can-save-them/ 
  19. Comparison of frameworks for deep learning: http://www.kdnuggets.com/2017/03/getting-started-deep-learning.html