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- New Adventures with Innovation Toronto
  
  Innovation Toronto has been running since 2007 and as such is getting a little old in terms of its constituent parts. the theme in particular has been a problem mainly because we relied too much on some of the components attached to it and therefore could not move on without extensive work. it is now come to the point where that extensive work is going to produce good results. we are already in the process of updating and upgrading various parts of it and over time will make sure that each and every post has been Revisited and revamped so it presents as best it can.
  
  Testing

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- New Adventures with Innovation Toronto
  
  Innovation Toronto has been running since 2007 and as such is getting a little old in terms of its constituent parts. the theme in particular has been a problem mainly because we relied too much on some of the components attached to it and therefore could not move on without extensive work. it is now come to the point where that extensive work is going to produce good results. we are already in the process of updating and upgrading various parts of it and over time will make sure that each and every post has been Revisited and revamped so it presents as best it can.
  
  Testing

Robust Adversarial Immune-inspired Learning System

The code mimics the mechanisms by which the immune system learns to identify antigens, instead learning to characterize the dubious inputs to the machine learning algorithm. Image credit: Ren Wang

A way to make deep neural networks immune to hacking?