Some interesting links that I Tweeted about this week:
1) Simulating a dragonfly's brain shows that enormous deep neural networks aren't always necessary: https://spectrum.ieee.org/fast-efficient-neural-networks-copy-dragonfly-brains
2) The precariousness of research positions is why I got out of a research-only career and into academic management - a much better way of supporting my family: https://www.nature.com/articles/d41586-021-02613-4
3) Some recent advances in reinforcement learning for deep neural networks: https://spectrum.ieee.org/reinforcement-learning
4) AI in general, and Deep Neural Networks in particular, have been over-hyped. They can still achieve some useful results, but a healthy level skepticism should be employed: https://www.bloomberg.com/opinion/articles/2021-10-04/artificial-intelligence-ain-t-that-smart-look-at-tesla-facebook-healthcare
5) Using AI to bet on horses: https://spectrum.ieee.org/betting-with-no-code-ai
6) I've been working from home almost three months. I've never done any of these five things: https://www.stuff.co.nz/business/prosper/advice/300419444/five-things-to-avoid-when-working-from-home
7) This is not going to end well: https://spectrum.ieee.org/predictive-ai-pentagon AI
8) Overview of zero-shot learning: https://www.kdnuggets.com/2021/04/zero-shot-learning.html
9) Organic, implantable, neural networks https://spectrum.ieee.org/brain-inspired-ai-implant
10) My alma mater is using AI to increase energy efficiency in its buildings: https://www.odt.co.nz/news/dunedin/campus/ai-managing-university-energy-use
11) Deep learning in military robots: https://spectrum.ieee.org/ai-army-robots
12) Good overview of time-series prediction with machine learning: https://www.kdnuggets.com/2020/03/machine-learning-time-series-forecasting-sequel.html
13) How the energy costs of deep learning are becoming unsustainable: https://spectrum.ieee.org/deep-learning-computational-cost
14) Three reasons why academics stay on long past retirement age: https://www.insidehighered.com/blogs/learning-innovation/3-reasons-why-higher-ed-people-who-can-afford-retire-keep-working
15) Overview of the history of AI, especially neural networks: https://spectrum.ieee.org/history-of-ai
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