Monday, November 07, 2016

Getting Started with Deep Learning


For the permanent record, here is a very useful overview of deep learning thanks to Nature magazine and authors LeCun, Bengio, and Hinton. Good place to start.

http://www.cs.toronto.edu/~hinton/absps/NatureDeepReview.pdf

A few other places to start.

This course includes some material that provides a useful overview:
http://selfdrivingcars.mit.edu/deeptraffic/

For the developers among us, via Google:
http://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf


Thursday, May 12, 2016

Internet Voting - Just Say No!

Great presentation by Andrew Appel on whether internet voting is a good idea. The answer is a resounding "no!".

https://www.youtube.com/watch?v=abQCqIbBBeM

Andrew Appel at Princeton: https://www.cs.princeton.edu/~appel/

Thursday, May 05, 2016

Riccardo Sabatini talks about reading the genome

This 15 min Ted Talk is pretty amazing:

Machine learning meets the genome. Machine learning technology is improving at an accelerating rate, so it seems to me that as we collect more genomes, improve the modeling, and validation, we'll see some amazing things sooner than any of us thought. (Or at least sooner than I thought...)

Brings to mind about a million science fiction scenarios.

Tuesday, April 05, 2016

Link Pool #1

Abbey Library, St. Gallen, Switzerland


So here is a new feature of this blog - link pools. Maybe we should call them link libraries. A reasonably public, reasonably persistent place to save and annotate links to papers, videos, courseware, etc.. generally any content valuable enough for my "permanent record".

(Thanks to http://fillthewell.com/here-are-22-of-the-most-beautiful-libraries-in-the-world/ for the photo.)

Artificial Intelligence & Machine Learning

Von Neumann - Theory of Self-Reproducing Automata
http://cba.mit.edu/events/03.11.ASE/docs/VonNeumann.pdf

Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
http://arxiv.org/pdf/1603.08270v1.pdf

How to Code and Understand DeepMind's Neural Stack Machine
https://iamtrask.github.io/2016/02/25/deepminds-neural-stack-machine/
(thanks @iamtrask)

Deep learning library featuring a higher-level API for TensorFlow
https://github.com/tflearn/tflearn

The Singularity: A Philosophical Analysis
http://consc.net/papers/singularity.pdf

Deep Learning - Ian Goodfellow, Yoshua Bengio and Aaron Courville (MIT Press)
http://www.deeplearningbook.org/

Bitcoin & Related Topics

Is Bitcoin really frictionless?

Is Bitcoin a safe asset?

On Scaling Decentralized Blockchains

Quantum Safe Cryptography and Security
http://www.etsi.org/images/files/ETSIWhitePapers/QuantumSafeWhitepaper.pdf

Harvard CS109 Data Science
http://cs109.github.io/2015/

Python cryptocurrency trading robot