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Artificial Intelligence in Drug Discovery - John Overington - Deep Learning Summit #reworkDL

This presentation took place at the Deep Learning Summit in London on 24-25 Sept 2015: #reworkDL ..

Lecture 3 | GloVe: Global Vectors for Word Representation

Lecture 3 introduces the GloVe model for training word vectors. Then it extends our discussion of word vectors (interchangeably called word embeddings) by ...

Ethnography for Artificial Intelligence

An introduction to ethnography for Artificial Intelligence as well as conversational analysis and its relevance to AI. See more on this video at ...

Interactive and Interpretable Machine Learning Models for Human Machine Collaboration

I envision a system that enables successful collaborations between humans and machine learning models by harnessing the relative strength to accomplish ...

Talk 2 - Stockholm AI at Schibsted - Study Group #4 - the Differentiable Neural Computer and more

2nd talk: Oliver will talk about Differentiable Neural Computers (DNCs) which provide a way of incorporating more structure into a neural network - something ...

The future of computing: a conversation with John Hennessy (Google I/O '18)

In this Keynote Session, John Hennessy, pioneering computer scientist, distinguished engineer, and joint winner of the Turing Award for his work developing ...

Advanced 4. Monte Carlo Tree Search

MIT 16.412J Cognitive Robotics, Spring 2016 View the complete course: Instructor: MIT students This is the fifth advanced ..

On-Device Machine Intelligence with Neural Projections

Deep neural networks and other machine learning models have been transformative for building intelligent systems capable of visual recognition, speech and ...

Bayesian Deep Learning and Flight Delay Prediction - Sam Zimmerman (Freebird)

Paper on Proceedings of Machine Learning Research available at: Presentation Slides: ..