computation   3977

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The Bitter Lesson
The biggest lesson that can be read from 70 years of AI research is that general methods that leverage computation are ultimately the most effective, and by a large margin. The ultimate reason for this is Moore's law, or rather its generalization of continued exponentially falling cost per unit of computation.
machine-learning  AI  computation  computer-science  from instapaper
3 days ago by basus
Dynamic Programming versus Memoization
I didn't understand a word of this, and can't see how DP is what he says it is. I thought DP was about the Bellman stuff. I guess it tells you an algorithm (backwards induction and what not), but I hadn't thought of it as a computation-based thing.

I should try and understand what is going on.
shriram.krishnamurthi  computation  programming 
3 days ago by MarcK
RT : "Evolutionary Computation" is a leading journal in its field, focusing on aspects of systems that draw…
computation  from twitter_favs
7 days ago by danbri
The computational notebook of the future
Regular readers of this blog may have noticed that I am not very happy with today’s state of computational notebooks, such as they were pioneered by Mathematica and popularized by more recent free incarnations such as Jupyter, R markdown, or Emacs/OrgMode. In this post and the accompanying screencast (my first one!), I will explain what I dislike about today’s notebooks, and how I think we can do better.
python  bestpractice  reproducibleresearch  computation  notebook  research 
4 weeks ago by deprecated
Networked Terraforming Pt. 1 | Code Societies Winter 2019
We were then asked to consider the dependencies of the concepts that we just wrote down. Connecting words like ‘surveillance’, ‘data center’ and ‘police’, as well as introducing new words like ‘labor’ and ‘rare earth minerals’ connected to ‘supply chains’, our map became increasingly complex and messy wrapped in deep rooted histories of colonialism and agriculturalism. Computation does not exist in some isolated virtual cloud, it is heavily entangled in our physical earth and societies. Ingrid proposed that the idea that computation turns a world into a computer is both a perceptual one (seeing the world as a computer, seeing natural world as a large computer) and a material one (excavation, changes to landscape, global warming), and that needs to be serious consideration of how computation is changing the world as much as global warming is.
Why focus on ‘networked terraforming’?

Following this discussion, Ingrid began to deconstruct the meaning of networked terraforming. Her decision to use ‘terraforming’ instead of ‘geoengineering’ came out of wanting to dispel the false sense of intentionality and expertise that came with engineering. Whereas ‘geoengineering’ seems to imply the act of trying to restore the land to a so called natural state, ‘terraforming’ is simply the act of earth making - something everyone participates in all the time.
computation  environment  geoengineering 
5 weeks ago by shannon_mattern

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