Demis Hassabis talk on General Artificial Intelligence

Demis Hassabis: Towards General Artificial Intelligence – talk at Center for Brains, Minds and Machines (CBMM). [Background: r. Demis Hassabis is the Co-Founder and CEO of DeepMind, the world’s leading General Artificial Intelligence (AI) company, which was acquired by Google in 2014 in their largest ever European acquisition.

The talk  draws  on Demis’  eclectic experiences as an AI researcher, neuroscientist and video games designer.

see also.

Advertisements

deep learning drizzle

u/kmario23 over at reddit points to a wonderful new resource m the deep learning drizzle. [on Github]

I have collected a list of freely available courses on Machine Learning, Deep Learning, Reinforcement Learning, Natural Language Processing, Computer Vision, Probabilistic Graphical Models, Machine Learning Fundamentals, and Deep Learning boot camps or summer schools.

So I checked it and immediately got involved watching Ian Goodfellow …

Ian and his advisor wrote this book …. take a look at it.

Goodfellow posted pdfs of his talks here

https://www.reddit.com/r/MachineLearning/  is worth following

artificial intelligence, natural stupidity.

according to popular legends and urban myths … Amos Tversky is said to have said …

My colleagues, they study artificial intelligence; me, I study natural stupidity.

this, from CoEvolving Innovations which seems like a fascinating resource.

The blog entry there talks about Daniel Kahneman  and Amos Tversky.

The topic is fascinating.  The question of how intelligence and stupidity are related is fascinating.

There’s also a reference to Daniel Kahneman, Paul Slovic, and Amos Tversky book Judgment under uncertainty: Heuristics and biases,  that I now feel compelled to investigate

interesting factoid …Kahneman  was awarded the 2002 Nobel Prize in economic sciences  despite being a psychologist, not an economist.  Which goes to show you … that Forrest Gump’s Mom was right  Life is like a box of chocolates. You never know what you’re gonna get.”

Deep Learning on My Mind

OK, so I started perusing Terry  Sejnowski’s   recent book,  The Deep Learning Revolution.  It’s dedicated to Bo and Sol, Theresa, and Joseph and is In memory of Solomon Golomb.  Nice!

  • It’s a great book. In the short time I spend with it,  I learned quite a lot. I decided to see what’s most important to Terry looking at the topics he spends most of his time on.  Here’s what pops out first …neural networks and deep learning . [To be expected], then the items getting most discussion are:
  • the brain
  • machine learning
  • learning algorithm
  • artificial intelligence
  • the world
  • visual cortex
  • the network
  • boltzmann machine
  • the cortex
  • Geoffrey Hinton [looks like Geoff is really getting attention and kudos from everyone!!]
  • network models
  • the future
  • learning
  • self driving car
  • learning networks
  • cost function
  • deep learning networks
  • hopfield net
  • primary visual cortex
  • the visual cortex
  • independent component analysis
  • real world
  • brains
  • the internet
  • the perceptron
  • facial expressions
  • reinforcement learning
  • Francis Crick
  • hidden units
  • the retina
  • information processing systems
  • neural information processing
  • neural information processing systems
  • td gammon
  • the boltzmann machine
  • computer vision
  • driving cars
  • simple cells
  • the hopfield net
  • cerebral cortex
  • David Hubel

Somewhere further down the list I came across Soumith Chintala over at FaceBook AI / Courant Institute.  His was a new name for me. Looks like he’s a PyTorch maven, super-coder. Nice! his Wasserstein Generative Adversarial Network (GAN) paper seems pretty nice.  Apparently FAIR has advanced the ball a lot with Generative Adversarial Networks. I need to  be paying much more attention.  Also noted a new name to follow, Cade Metz  who writes about  technology for The New York Times/

All this from my first glance at The Deep Learning Revolution.  

read it … I will get deeper into the deep learning as well.

Happy Holidays …

 

 

 

ExaIntelligence – Coming Up Soon.

At Advanced Scientific Computing Advisory Committee (ASCAC) meeting, in Arlington, Va., not too long ago:  DOE announced “Aurora” supercomputer is on track to be the United States’ first exascale system. It will be built by Intel and Cray for Argonne National Laboratory,   delivery date has shifted from 2018 to 2021 and target capability has been expanded from 180 petaflops to 1,000 petaflops (1 exaflop).

Wow! One can only speculate about what this means for Artificial and Advanced Intelligence (AI/AI) and the progression to the Singularity.  ExaIntelligence Arriving.

Voevodsky and Computer verification of mathematical reasoning

 

Vladimir Alexandrovich Voevodsky Winner of the 2002 Fields Medal passed away earlier this year. Way too early.   Explore his UNIVALENT FOUNDATIONS (2014), where he stated:

I   think it was at this moment that I largely stopped doing what is called “curiosity-driven research” and started to think seriously about the future.  … It soon became clear that the only real long-term solution to the problems that I encountered is to start using computers in the verification of mathematical reasoning.