Sohan Choudhury : I recently completed Coursera's Deep Learning Specialization, and wrote a review which was recognized by Andrew Ng himself https://goo.gl/ThAo5X @ArtificialIntelligenceArticles
Discoveries that make deep learning easier to use and didn't require more computational power
By Rachel Thomas : https://www.fast.ai/2018/07/23/auto-ml-3/ @ArtificialIntelligenceArticles
By Rachel Thomas : https://www.fast.ai/2018/07/23/auto-ml-3/ @ArtificialIntelligenceArticles
Writing the logic for a blackjack playing program
Yesterday's Kaggle micro-challenge asked to write the logic for a blackjack player. Kevin Mader created a training set of random games and training a decision tree to make the best moves!
https://goo.gl/eUCccZ
@ArtificialIntelligenceArticles
Yesterday's Kaggle micro-challenge asked to write the logic for a blackjack player. Kevin Mader created a training set of random games and training a decision tree to make the best moves!
https://goo.gl/eUCccZ
@ArtificialIntelligenceArticles
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Neural Kinematic Networks for Unsupervised Motion Retargetting #CVPR2018
paper: https://arxiv.org/abs/1804.05653 Code : https://goo.gl/4TdpoA
paper: https://arxiv.org/abs/1804.05653 Code : https://goo.gl/4TdpoA
Iris scanner artificial intelligence can tell the difference between the living and the dead
paper: https://arxiv.org/abs/1807.04058
news: https://goo.gl/swp1RC @ArtificialIntelligenceArticles
paper: https://arxiv.org/abs/1807.04058
news: https://goo.gl/swp1RC @ArtificialIntelligenceArticles
Edge TPU Devices
The Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing for low-power devices.
Coming this fall https://goo.gl/QQRgLF
The Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing for low-power devices.
Coming this fall https://goo.gl/QQRgLF
Structural brain imaging in Alzheimer’s disease and mild cognitive impairment: biomarker analysis and shared morphometry #database
Ledig et al https://goo.gl/QifkgN
#alzheimersdisease #medicalimagi
Ledig et al https://goo.gl/QifkgN
#alzheimersdisease #medicalimagi
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
https://arxiv.org/abs/1807.07356
https://arxiv.org/abs/1807.07356
Stanford is looking for postdoctoral researcher to carry out research at the interface of Artificial Intelligence and Machine Learning (ML) and Chemistry.
https://www.nature.com/naturejobs/science/jobs/648959-machine-learning-and-artificial-intelligence-for-retrosynthesis
@ArtificialIntelligenceArticles
https://www.nature.com/naturejobs/science/jobs/648959-machine-learning-and-artificial-intelligence-for-retrosynthesis
@ArtificialIntelligenceArticles
Nature
Machine Learning and Artificial Intelligence for Retrosynthesis : Stanford, CA, United States
Employer: Stanford University Website: https://www.stanford.edu Location: Stanford, CA, United States Posted: 12 days ago Expires: September 14, 2018 Job type: Postdoctoral Salary: Unspecified Qualifications: Postgraduate - Doctorate/PhD Employment type: Contract…
Recent research in Science is adding a new dimension to deep learning https://goo.gl/vaK6Jv or https://arxiv.org/abs/1804.08711 @ArtificialIntelligenceArticles
Painting outside the box with deep learning
Code: https://github.com/bendangnuksung/Image-OutPainting @ArtificialIntelligenceArticles
Code: https://github.com/bendangnuksung/Image-OutPainting @ArtificialIntelligenceArticles
L1: Tensor Studio — A playground for tensor computations
Demo : https://mlajtos.github.io/L1/latest/
Code : https://github.com/mlajtos/L1
Demo : https://mlajtos.github.io/L1/latest/
Code : https://github.com/mlajtos/L1
Understanding Memory in Deep Learning Systems: The Neuroscience, Psychology and Technology Perspectives
https://goo.gl/RAvMhv @ArtificialIntelligenceArticles
https://goo.gl/RAvMhv @ArtificialIntelligenceArticles
Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes
"Our training system can achieve 75.8% top-1 test accuracy in only 6.6 minutes using 2048 Tesla P40 GPUs."
paper : https://arxiv.org/abs/1807.11205
@ArtificialIntelligenceArticles
https://goo.gl/oL1g4h
"Our training system can achieve 75.8% top-1 test accuracy in only 6.6 minutes using 2048 Tesla P40 GPUs."
paper : https://arxiv.org/abs/1807.11205
@ArtificialIntelligenceArticles
https://goo.gl/oL1g4h
TensorFlow 1.9 Officially Supports the Raspberry Pi
By Pete Warden, Software Engineer : https://medium.com/tensorflow/tensorflow-1-9-officially-supports-the-raspberry-pi-b91669b0aa0
By Pete Warden, Software Engineer : https://medium.com/tensorflow/tensorflow-1-9-officially-supports-the-raspberry-pi-b91669b0aa0
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service
paper : https://arxiv.org/abs/1808.00590 @ArtificialIntelligenceArticles
paper : https://arxiv.org/abs/1808.00590 @ArtificialIntelligenceArticles
Auto Keras is an OSS project that uses neural architecture search to automatically develop Keras models
GitHub code: https://github.com/jhfjhfj1/autokeras
Paper : https://arxiv.org/abs/1806.10282
GitHub code: https://github.com/jhfjhfj1/autokeras
Paper : https://arxiv.org/abs/1806.10282
Kaggle Tensorflow Speech Recognition Challenge https://towardsdatascience.com/kaggle-tensorflow-speech-recognition-challenge-b46a3bca2501
Speaker Recognition from raw waveform with SincNet
Mirco Ravanelli, Yoshua Bengio : https://arxiv.org/abs/1808.00158
Mirco Ravanelli, Yoshua Bengio : https://arxiv.org/abs/1808.00158