Dangerous Knowledge, by David Malone, summarizes the work and life of some of the greatest thinkers in late 19th and 20th centuries. Includes the work and life of Cantor, Boltzmann, Godel, and Turing.
Watch it here: Dangerous Knowledge
Category: computer (Page 2 of 8)
All Watched Over by Machines of Loving Grace, by Adam Curtis, provides a grand overview of many of the people and ideas which have shaped the development of computers, systems, social theory, and politics over the past century. It is one of the better documentaries I have every seen and definitely worth watching; however, I agree with the reviewer John Preston who said it had an “…infuriating glibness too as the web of connectedness became ever more stretched. No one could dispute that Curtis has got a very big bite indeed. But what about the chewing, you ask. There wasn’t any – or nothing like enough of it to prevent a bad case of mental indigestion.”
Watch it:
“A picture is worth a thousand words”, a cliché, but true. A semester or even a textbook can be condensed into a beautiful visualization thanks to modern graphics. This is why I find the work of Drew Berry, XVIVO, and David Goodsell so powerful. Seeing DNA replication and intracellular transportation makes me speechless. Many of these are created with Maya or Molecular Maya. I really want to explore Maya to visualize financial networks and data after watching these…
A friend told me about D3 Data Driven Documents. This is an excellent site for anyone with a desire to display data in a unique and cool fashion on the internet. I will be updating my site, thebubbleindex.com with D3 js methods soon.
I want to do something which combines GPU programming, finance, and/or conservation — something which will help the relationship between humans and the environment. There are a few ideas in my head. One is about displaying data with 3D graphics to give traders more than just a ticker price. The price of a security is a minimal form of information. What is a good method to display the daily progression of trade volume? Most information about short sells, margin levels, and ownership levels are hidden; revealed only on a monthly or quarterly basis. This infrequent update hinders the development and understanding of crash prevention. Combining all of this information into a visual display based on an Ising model (example) and N-Body particle simulation should be informative. Of course I am simply speculating and putting thoughts into words. The two books I am currently browsing through are: OpenCL in Action by Matthew Scarpino and CUDA Handbook: A Comprehensive Guide to GPU Programming by Nicholas Wilt.
CUDA Samples:
![[ GNU Link]](https://www.gnu.org/graphics/gnubanner-2.png){kind=small}
