General AI including ML  (not assessment, text mining and text classification, etc. related)   aka aifc aes

e.g. Expert Systems and ML applied to vision, translation, etc.
See also:  HAL archive here  (requires access permission)
AI for Medicine; ML for Medicine; Deep Learning for Medicine: all HERE  data science at UCI  Smyth  AES  ML  RapidMiner 


Amazon Machine Learning (HERE)

Open Source AI & Machine Learning
LightSIDE from CMU:   

It is available here:

google group here

lots more here


(now open source Apache) 
Microsoft - Azure Machine Learning Studio

Google - TensorFlow 


Facebook -  AI / ML to open source 
Torch project



and BDE on EdX (archived):
(big data in education)


Ryan Baker's Courses both here and


 Machine Learning at CMU

 Ryan Shaun Baker PhD
Alchemy is funded by:       automated reasoning group           latent dirichlet analysis   Ryszard S. Michalski

ImageNet: here

Google Open Source AI:   TensorFlow here

Padhraic Smyth's talk 151111:

the master algorithm:  pedro domingos... book... a bit of hype... but a good book.

bits / dollar on a logarithmic scale (vertical) x-axis time / years....

factor in sensors, storage, computation power, analysis methods, and internet? 

before 1994 -- pre-internet.  can collect and share data...much more easily.  

facebook: friendship graph - at 500 million users, 130 average edges per node, 60 billion edges... 

3 billion photos per month, 30 billion content items shared every month.

Face detection now mostly a solved problem -- due to amount of data, compute power, etc.  

Lots of data from Large Hadron Collider at CERN too.  Daniel Whiteson, Physics dept. 

Tensor Flow / ACM learning seminar   Title: TensorFlow: A Framework for Scalable Machine Learning

Date: Wednesday, October 19, 2016

Time: 12:00 PM Eastern Daylight Time

Duration: 1 hour