Thursday, July 13, 2017

Weekly Review 13 July 2017

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

  1. When AI research collides head-on with privacy laws: https://www.theregister.co.uk/2017/07/03/google_deepmind_trial_failed_to_comply_with_data_protection_law/
  2. A list of logical fallacies used in arguments - make sure you don't fall for these in your research: https://www.lifehacker.com.au/2017/06/spot-the-flaw-in-a-politicians-argument-with-this-guide-to-logical-fallacies/
  3. Chinese tech sector's concerns about AI: https://www.technologyreview.com/s/608183/chinas-tech-moguls-warn-of-ais-troubling-trajectory/
  4. Should the heads of universities be academics? https://www.insidehighered.com/news/2017/07/03/madison-professors-fight-keep-requirement-administrators-be-academics
  5. Using AI to assist with drug design: https://www.theregister.co.uk/2017/07/03/gsk_signs_ai_deal_british_firm/
  6. Ten simple rules to make your data science /AI research reproducible: http://dataconomy.com/2017/07/10-rules-results-data-science/ 
  7. Relax, machine learning is not going to revolutionise business just yet: http://www.theregister.co.uk/2017/07/05/rethink_machine_learning/ 
  8. I am starting to think that ethics in AI is a more complicated problem than AI itself: http://www.theregister.co.uk/2017/07/04/ai_ethics_and_what_next/ 
  9. Using deep neural networks to observe football games and bet on them: https://www.theverge.com/2017/7/6/15923784/ai-predict-sport-betting-gambling-stratagem 
  10. In two years every successful software product will be expected to include some form of AI: http://www.techrepublic.com/article/why-there-will-be-no-more-ai-startups-in-2-years/ 
  11. Automating machine learning so non-technical people can use it: https://techcrunch.com/2017/07/06/h2o-ais-driverless-ai-automates-machine-learning-for-businesses/ 
  12. Using machine learning to detect hot jupiter planets orbiting other stars: http://www.theregister.co.uk/2017/07/07/machine_learning_algos_and_hot_jupiters/ 
  13. Google is funding the development of machine-written news articles: https://www.theverge.com/2017/7/7/15933224/google-press-association-ai-news-writers 
  14. Google's unified deep learning model: https://www.datanami.com/2017/07/06/google-mimics-human-brain-unified-deep-learning-model/
  15. A session with an AI therapist: http://www.theregister.co.uk/2017/07/07/ai_robodoc_asks_me_personal_questions/ 
  16. Why machine learning doesn't work for some problems: http://www.datasciencecentral.com/profiles/blogs/the-e-dimension-why-machine-learning-doesn-t-work-well-for-some 
  17. Preparing for the future of ubiquitous machine learning: https://www.datanami.com/2017/07/03/machine-learning-everywhere-preparing-future/ 
  18. List of articles on TensorFlow: http://www.datasciencecentral.com/profiles/blogs/9-great-articles-about-tensorflow 
  19. Another attempt at using a deep neural network to name colours: https://arstechnica.com/information-technology/2017/07/new-experiments-reveal-that-ai-are-still-terrible-at-naming-paint-colors/ 
  20. Getting into deep learning: how they built the Not Hotdog app: http://www.theregister.co.uk/2017/07/10/skills_for_ai/ 
  21. How machine learning / AI is being used in US hospitals: https://www.techemergence.com/top-5-hospitals-using-machine-learning/
  22.  How AI can help to manage data: http://www.techrepublic.com/article/how-ai-and-machine-learning-can-help-solve-its-data-management-problem/
  23. Why AI will change the business world: http://informationweek.com/big-data/software-platforms/artificial-intelligence-will-redefine-the-world/a/d-id/1329254
  24. List of resources on self-driving cars: http://www.kdnuggets.com/2017/07/5-free-resources-getting-started-self-driving-vehicles.html
  25. The ten IT jobs most likely to be taken over by AI: http://informationweek.com/strategic-cio/10-it-jobs-that-will-be-done-by-ai/d/d-id/1329310?
  26. Detecting heart arrhythmia using deep learning: https://www.technologyreview.com/s/608234/the-machines-are-getting-ready-to-play-doctor/
  27. AI is now, finally, starting to deliver in the enterprise: http://computerworld.com/article/3203029/artificial-intelligence/a-i-starts-to-deliver-in-the-enterprise-at-last.html
  28. DeepMind is letting virtual figures teach themselves how to walk, run etc through a virtual environment: https://www.theverge.com/tldr/2017/7/10/15946542/deepmind-parkour-agent-reinforcement-learning
  29. How AI is being used in mobile apps: http://computerworld.com/article/3204906/mobile-wireless/here-s-what-really-matters-when-it-comes-to-ai-and-mobile-apps.html
  30. Detecting heart arrhythmia using deep learning: https://www.technologyreview.com/s/608234/the-machines-are-getting-ready-to-play-doctor/ 
  31. Google is looking seriously at bias in AI: https://www.theverge.com/2017/7/10/15947358/google-ai-pair-bias-fairness-equality
  32. The role of AI in the 'digital brain' of a business: http://www.kdnuggets.com/2017/07/why-every-company-needs-digital-brain.html 
  33. AI is moving further into the enterprise: https://www.datanami.com/2017/07/11/ai-makes-inroads-enterprise-software/