Tags » Neural Networks

New Scientist Artificial Intelligence day – Session One; the Mainstream - Simon Lucas

Simon Lucas is Professor of computer science at the University of Essex. His research is focused on the application of artificial intelligence and machine learning to games, evolutionary computation and pattern recognition. 465 more words

Commentary

Birth of the Google Brain

Google Translate 1.0

Google translate has become ubiquitous in our world today, being used by students desperate to pass their language exams, to avid travelers in desperate need of some translation to be able to communicate abroad. 768 more words

Understanding art with neural networks: art restoration meets AI (artificial intelligence)

I have always been curious about the recent buzz on ‘deep learning’ and recently got a chance to explore this area while researching methods of ‘art restoration and origins of paintings’. 820 more words

Painting

Artificial Synapse - Neural Networks (brainier computer)

The human brain is nature’s most powerful processor, so it’s not surprising that developing computers that mimic it has been a long-term goal. Neural networks, the artificial intelligence systems that learn in a very human-like way, are the closest models we have, and now Stanford scientists have developed an organic artificial synapse, inching us closer to making computers more efficient learners. 675 more words

Back-propagation, an introduction

@tachyeonz : Given the sheer number of backpropagation tutorials on the internet, is there really need for another? One of us (Sanjeev) recently taught backpropagation in undergrad AI and couldn’t find any account he was happy with. 6 more words

Iiot

Supervised Learning in a nutshell

I recently created a little notebook that describes popular supervised learning algorithms. It can be used as a little cheat sheet when it comes to remembering what these algorithms do. 20 more words

IPython Notebooks

Introduction to Local Interpretable Model-Agnostic Explanations (LIME)

@tachyeonz : Happy predictions. (source: Jared Hersch on Flickr). Machine learning is at the core of many recent advances in science and technology. With computers beating professionals in games like Go, many people have started asking if machines would also make for better drivers or even better doctors. 6 more words

Iiot