Tuesday, January 24, 2017

Review for 24 January 2016

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

  1. Strategies to increase the participation of women in computer science: http://www.techrepublic.com/article/how-northeastern-plans-to-reach-equal-male-female-cs-enrollment-by-2021/
  2. How to apply machine learning to business problems: http://techemergence.com/apply-machine-learning-to-business-problems/ 
  3. And, where to apply machine learning first in business: http://techemergence.com/where-to-apply-machine-learning-first/
  4. A beginner's guide to chatbots: https://chatbotsmagazine.com/the-complete-beginner-s-guide-to-chatbots-8280b7b906ca#.yopzsjy0k 
  5. How to stay competitive in the business of machine learning: http://www.kdnuggets.com/2017/01/stay-competitive-machine-learning-business.html 
  6. Guide to statistical hypothesis testing: http://www.datasciencecentral.com/profiles/blogs/your-guide-to-master-hypothesis-testing-in-statistics 
  7. Generative Adversarial Networks: http://www.kdnuggets.com/2017/01/generative-adversarial-networks-hot-topic-machine-learning.html 
  8. List of tools for building chatbots: https://chatbotsmagazine.com/the-tools-every-bot-creator-must-know-c0e9dd685094#.l49kg88c8 
  9. Introduction to how to do big data with Python: http://dataconomy.com/2016/10/big-data-python/ 
  10. Deep learning on low-power chips: http://spectrum.ieee.org/automaton/robotics/artificial-intelligence/ai-startup-neurala-deep-learning-for-nasa-powers-earth-robots 
  11. Support vector machines in R: http://www.datasciencecentral.com/profiles/blogs/learn-support-vector-machine-svm-from-scratch-in-r 
  12. White collar workers are already losing their jobs to AI: https://qz.com/875491/japanese-white-collar-workers-are-already-being-replaced-by-artificial-intelligence/
  13. This is troubling - a valuable resource is off-line. I hope legal bullying was not behind this: http://www.sciencemag.org/news/2017/01/mystery-controversial-list-predatory-publishers-disappears
  14. Biased data sets produce biased models which produce biased predictions. That's a fundamental of machine learning: http://motherboard.vice.com/en_au/read/minority-retort-why-oakland-police-turned-down-predictive-policing
  15. 3 guiding principles for an ethical AI: http://www.techrepublic.com/article/3-guiding-principles-for-ethical-ai-from-ibm-ceo-ginni-rometty/ 
  16. We're not ready for the enormous displacement of jobs that will be caused by automation & AI: https://www.theguardian.com/technology/2017/jan/11/robots-jobs-employees-artificial-intelligence 
  17. Companies need an AI strategy if employees are to get behind roll-out of AI: https://www.datanami.com/2017/01/17/ai-inevitable-retraining-needed-survey-finds/ 
  18. Using AI to estimate repair costs in car insurance claims: https://techcrunch.com/2017/01/19/in-the-future-ai-could-also-mean-auto-insurance/ 
  19. Applying ANN based style transfer to a movie: https://techcrunch.com/2017/01/19/kristen-stewart-co-authored-a-paper-on-style-transfer-and-the-ai-community-lost-its-mind/ 
  20. How to build your research output in one hour per day: http://science.sciencemag.org/content/353/6300/718 
  21. Deep learning applied to natural language processing: http://www.kdnuggets.com/2017/01/deep-learning-applied-natural-language-processing.html 
  22. AI created by AI: https://www.technologyreview.com/s/603381/ai-software-learns-to-make-ai-software/ … We're doomed.
  23. AI is having a huge impact on retail: http://www.informationweek.com/strategic-cio/digital-business/ai-technology-takes-center-stage-at-retail-convention/d/d-id/1327897 
  24. Deep learning is getting faster and cheaper: http://spectrum.ieee.org/computing/hardware/expect-deeper-and-cheaper-machine-learning 
  25. Battle of the chatbots: http://www.theregister.co.uk/2017/01/18/chatbot_battle/
  26. Automated machine learning: http://www.kdnuggets.com/2017/01/current-state-automated-machine-learning.html
  27. Predicting mortality of cardiac patients: http://www.ibtimes.co.uk/ai-can-predict-when-patients-will-die-heart-failure-80-accuracy-1601517
  28. Inter-disciplinary research can take a long time to publish: https://www.insidehighered.com/news/2016/12/02/scholar-complains-how-long-it-can-take-publish-interdisciplinary-science I know this from my own research.
  29. Research is needed at universities, but the undergrads are paying to be taught: http://www.theatlantic.com/education/archive/2016/11/have-public-universities-lost-their-focus/508424/
  30. How scientists use social media: https://www.eurekalert.org/pub_releases/2016-10/uoo-nsr101216.php
  31. AI will put managers out of work before skilled workers: https://www.theguardian.com/business/economics-blog/2017/jan/22/the-new-robot-revolution-will-take-the-bosss-job-not-the-gardeners 
  32. Machine learning might soon displace radiologists and pathologists: http://www.techrepublic.com/article/why-ai-is-about-to-make-some-of-the-highest-paid-doctors-obsolete/ 
  33. Introducing ethics into AI: https://techcrunch.com/2017/01/22/ethics-the-next-frontier-for-artificial-intelligence/