Weekly Review 26 November 2021

Some interesting links that I Tweeted about this week:

1) 20+ years ago my PhD stipend needed to be supplemented by tutoring. Living on a PhD stipend now would be almost impossible: https://www.stuff.co.nz/national/education/127015167/its-a-disgrace-phd-students-struggling-on-less-than-minimum-wage

2) A better question would be, how can you regulate AI when nobody can agree on what it is? https://www.techrepublic.com/article/policymakers-want-to-regulate-ai-but-lack-consensus-on-how/

3) The languages that are more commonly used for Data Science and Machine Learning: https://www.kdnuggets.com/2021/11/3-differences-coding-data-science-machine-learning.html

4) Deploying AI in healthcare call centres: https://www.techrepublic.com/article/how-ai-and-nlp-are-helping-healthcare-call-centers-to-be-more-efficient/

5) Personally, I'm quite happy and more productive working remotely in higher education, but I can see how other people would struggle with it: https://www.insidehighered.com/blogs/learning-innovation/5-reasons-why-i%E2%80%99m-struggling-working-virtually

6) The world's biggest military issues ethics guidelines for AI: https://www.technologyreview.com/2021/11/16/1040190/department-of-defense-government-ai-ethics-military-project-maven/ This is not going to end well.

7) The difference between distributed and federated learning: https://www.kdnuggets.com/2021/11/difference-distributed-learning-federated-learning-algorithms.html

8) How to improve online teaching: https://www.insidehighered.com/blogs/higher-ed-gamma/8-ways-improve-your-online-course

9) How the gambling industry is using AI to improve their own odds: https://www.techrepublic.com/article/how-machine-learning-is-skewing-the-odds-in-online-gambling/ Who was it said that gambling is a tax on people who are bad at maths?

10) Detecting driver impairment using AI: https://spectrum.ieee.org/driver-assistance-package

11) I used to get up at 4:30 a.m. to take my daughter to her swimming training sessions, then spend a full day at work-the lack of rest was not particularly pleasant: https://www.stuff.co.nz/national/health/127006684/while-we-were-sleeping-meet-nzs-early-birds-the-people-getting-up-hours-before-you