Robust-first Computing Wiki

User Tools

Site Tools

Trace:
people:taylor_berger

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision		Previous revision
people:taylor_berger [2014/09/08 02:53] – tberge01people:taylor_berger [2014/12/09 00:37] (current) – tberge01
Line 5: Line 5:
   * Interests include creating robust software, machine learning, statistics and probability applied to computer science    * Interests include creating robust software, machine learning, statistics and probability applied to computer science 
   * Github is here: www.github.com/teberger/    * Github is here: www.github.com/teberger/ 
 +
 +Paper: [[https://drive.google.com/file/d/0B-oy2hoENqZENWlTQWZMU085M2M/view?usp=sharing|Link]] to paper's pdf on Google Drive.
 +Project Materials: [[https://www.dropbox.com/s/4zzprb1oe8593w0/project_materials.tar?dl=0|materials]] (Dropbox link)
  
 Project Ideas: Project Ideas:
 +  * [[people:taylor_berger:low_fidelity_data_compression| Low Fidelity Data Compression]]: Thinking in the MFM framework is hard. Through iterative <del>failures</del> project evaluations, I realized I was trying to  implement an algorithm in a robust first framework. Sorting in MFM is a great example of the issues with implementing algorithms -- it doesn't make sense to recreate quicksort in the MFM, however Demon Horde Sort was created as a procedural sorting tool. A neural network is an algorithm we use -- it doesn't make sense to recreate it in the MFM (or maybe it does, but I'm not sure how at this point). In light of that realization, I took what I learned and leveraged the work I have done so far to change my project to low-fidelity data compression. 
 +  * [[people:taylor_berger:more_realistic_nn|The more realistic brain]]: After going through the first cycle of design in ALife, this is better scaled project due to the time constraints of the semester
   * [[people:taylor_berger:biologically_inspired_nn|Biologically Inspired, Infinitely Scaleable Brain]]: Growing a biologically inspired, infinitely scaleabe neural network in the MFM with dendrites and axons and synapses, oh my!    * [[people:taylor_berger:biologically_inspired_nn|Biologically Inspired, Infinitely Scaleable Brain]]: Growing a biologically inspired, infinitely scaleabe neural network in the MFM with dendrites and axons and synapses, oh my! 
   * Adaptive immune system for the MFM based on biologically inspired immune systems. (Antigens and white blood cell style)   * Adaptive immune system for the MFM based on biologically inspired immune systems. (Antigens and white blood cell style)
  
 === News === === News ===
 +07-Dec-2014 09:00:18PM-0700
 +  * Updated this page to include a new link to my finished paper
 +
 +10-Nov-2014 12:55:06PM-0700
 +  * It's been a while since this was updated. I am updating my project pages to document the failu... I mean, successful elimination of project topics. 
 07-Sep-2014 08:49:18PM-0600 07-Sep-2014 08:49:18PM-0600
   * Added a page describing my preferred project   * Added a page describing my preferred project
people/taylor_berger.1410144786.txt.gz · Last modified: 2014/09/08 02:53 by tberge01