General Learning Algorithms by Demis Hassabis |
2016/02/05 - 9:34pm |
Video |
General Learning Algorithms, Algorithms, Demis Hassabis |

Inside DeepMind |
2016/02/05 - 9:32pm |
Video |
DeepMind, Google, Intelligent Machines, Artificial Intelligence |

Computer that Mastered Go |
2016/02/05 - 9:29pm |
Video |
AlphaGo, Go, Deep Convolutional Neural Networks, Monte Carlo Tree Search |

Ground-breaking AlphaGo Masters Game of Go |
2016/02/05 - 9:27pm |
Video |
AlphaGo, Go, Deep Convolutional Neural Networks, Monte Carlo Tree Search |

Maximum Flow Algorithm in GraphX (Slides) |
2016/01/27 - 4:36pm |
Slides |
Spark |

Deep Learning Tutorial - 2015 |
2016/01/26 - 12:20pm |
External Course |
Deep Learning, Tutorial |

Deep Learning with H2O |
2016/01/26 - 12:19pm |
White Paper |
Deep Learning, H2O |

H2O Machine Learning Platform - Datasheet |
2016/01/26 - 12:16pm |
White Paper |
H2O, Machine Learning, Platform |

Torch7 - Matlab-like Environment for Machine Learning |
2016/01/26 - 12:13pm |
Academic Paper |
Torch7, Machine Learning |

Drone Traffic Management System |
2016/01/22 - 9:17pm |
Academic Paper |
Drone, Traffic Management System |

Graph Isomorphism in Quasipolynomial Time |
2016/01/16 - 1:00pm |
Academic Paper |
Graph Isomorphism, Quasipolynomial Time |

Capital Markets and Job Creation in the 21st Century |
2016/01/16 - 12:57pm |
White Paper |
Capital Markets, Job Creation, Public Policy, Finance, Economics |

Hiring Processes - Predicting Future Job Performance |
2016/01/16 - 12:53pm |
Academic Paper |
Hiring Processes, Job Performance, Human Capital, Talent Strategy |

Predictive Analytics Technology 2015 |
2016/01/16 - 12:51pm |
White Paper |
Predictive Analytics, Vendors, Technology |

ScalaCL for GPUs - Slides |
2016/01/16 - 12:44pm |
Slides |
ScalaCL, GPU, HPC, Scala |

Programming Models for Exascale Systems |
2016/01/16 - 12:38pm |
Video |
Programming Models, Exascale Systems |

GPU Programming for Beginners |
2016/01/16 - 12:37pm |
Video |
GPU Programming, GPU |

Introduction to GPUs |
2016/01/16 - 12:35pm |
Video |
GPU |

Vulpes: Functional Approach to Deep Machine Learning on the GPU |
2016/01/16 - 12:33pm |
Video |
Vulpes, Deep Machine Learning, GPU |

Things You Can Do with a Recurrent Neural Network |
2016/01/16 - 12:30pm |
Video |
Recurrent Neural Network |

Algorithmic Music Generation with Recurrent Neural Networks |
2016/01/16 - 12:27pm |
Video |
Algorithmic Music Generation, Recurrent Neural Networks |

Hacking Roller Coaster Tycoon with Genetic Algorithms and Go |
2016/01/16 - 12:26pm |
Video |
Hacking Roller Coaster Tycoon, Genetic Algorithms, Go |

Architecting Predictive Algorithms for Machine Learning |
2016/01/16 - 12:25pm |
Video |
Predictive Algorithms, Machine Learning |

Science Of Persuasion |
2016/01/16 - 12:23pm |
Video |
Science Of Persuasion |

Paradox Of The False Positive |
2016/01/16 - 12:22pm |
Video |
False Positives |

Generating Text with Recurrent Neural Networks |
2015/12/12 - 11:13pm |
Academic Paper |
Generating Text, Recurrent Neural Networks |

Estimating the Hessian by Back-propagating Curvature |
2015/12/12 - 11:11pm |
Academic Paper |
Hessian, Back-propagating Curvature |

Training Deep and Recurrent Neural Networks with Hessian-Free Optimization |
2015/12/12 - 11:10pm |
Academic Paper |
Training Deep and Recurrent Neural Networks with Hessian-Free Optimization |

Subword Language Modeling with Neural Networks |
2015/12/12 - 11:08pm |
Academic Paper |
Subword Language Modeling with Neural Networks |

Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning |
2015/12/12 - 11:06pm |
Academic Paper |
Stochastic k-Neighborhood Selection, Supervised and Unsupervised Learning |

Exploiting Similarities among Languages for Machine Translation |
2015/12/12 - 11:04pm |
Academic Paper |
Languages, Machine Translation |

Distributed Representations of Words and Phrases and their Compositionality |
2015/12/12 - 11:02pm |
Academic Paper |
Distributed Representations, Words and Phrases |

Learning Factored Representations in a Deep Mixture of Experts |
2015/12/12 - 11:00pm |
Academic Paper |
Learning Factored Representations, Deep Mixture Experts |

Recurrent Neural Network Regularization |
2015/12/12 - 10:57pm |
Academic Paper |
Recurrent Neural Network Regularization |

Sequence to Sequence Learning with Neural Networks |
2015/12/12 - 10:56pm |
Academic Paper |
Sequence to Sequence Learning, Neural Networks |

Addressing the Rare Word Problem in Neural Machine Translation |
2015/12/12 - 10:54pm |
Academic Paper |
Neural Machine Translation |

Move Evaluation in Go Using Deep Convolutional Neural Networks |
2015/12/12 - 10:53pm |
Academic Paper |
Deep Convolutional Neural Networks, Go |

Reinforcement Learning Neural Turing Machines |
2015/12/12 - 10:51pm |
Academic Paper |
Reinforcement Learning Neural Turing Machines |

An Empirical Exploration of Recurrent Network Architectures |
2015/12/12 - 10:49pm |
Academic Paper |
Recurrent Network Architectures |

Deep Learning Master Class - Ilya Sutskever |
2015/12/12 - 10:37pm |
Video |
Deep Learning |

Deep Learning: Intelligence from Big Data |
2015/12/12 - 10:34pm |
Video |
Deep Learning |

Sequence to Sequence Learning with Neural Networks |
2015/12/12 - 10:31pm |
Video |
Sequence Learning, Neural Networks |

Deep Learning - Theory and Applications |
2015/12/12 - 10:28pm |
Video |
Deep Learning |

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems |
2015/11/17 - 11:25pm |
Academic Paper |
TensorFlow, Large-Scale Machine Learning, Heterogeneous Distributed Systems, Machine Learning Algorithms, Machine Learning Applications, Deep Learning, Machine Learning |

Reading Hidden Emotions: Spontaneous Micro-expression Spotting and Recognition |
2015/11/17 - 11:23pm |
Academic Paper |
Reading Emotions, Spontaneous Micro-expression Spotting, Recognition, Machine Learning |

Innovations in Data Storage for Machine Learning by Hal Woods |
2015/11/06 - 9:57pm |
Slides |
Data Storage, Machine Learning, Hal Woods |

Machine Learning Use Cases with Azure by Chris McHenry |
2015/11/06 - 8:06pm |
Slides |
Machine Learning Use Cases, Azure, Chris McHenry |

Aster Ski Hackathon by Mark Peterson & Elain Crutchley |
2015/11/06 - 8:01pm |
Slides |
Aster Ski Hackathon, Mark Peterson, Elain Crutchley |

Deep Learning for High Performance Time-series Databases by Jim Bates |
2015/11/06 - 7:59pm |
Slides |
Deep Learning, Time-series Databases, Jim Bates |

Machine Learning in Finance and Trading by Lee Cole |
2015/11/06 - 7:57pm |
Slides |
Machine Learning in Finance and Trading, Lee Cole |