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
5 implementations of the 'Neural Arithmetic Logic Unit'
Neural networks enhanced with Neural Arithmetic Logic Units (NALU) can learn to track time, perform arithmetic over images of numbers, translate numerical language into real-valued scalars, execute computer code, and count objects in images
https://arxiv.org/abs/1808.00508
GitHub : https://github.com/search?utf8=%E2%9C%93&q=Neural+Arithmetic+Logic+Units&type=
@ArtificialIntelligenceArticles
Neural networks enhanced with Neural Arithmetic Logic Units (NALU) can learn to track time, perform arithmetic over images of numbers, translate numerical language into real-valued scalars, execute computer code, and count objects in images
https://arxiv.org/abs/1808.00508
GitHub : https://github.com/search?utf8=%E2%9C%93&q=Neural+Arithmetic+Logic+Units&type=
@ArtificialIntelligenceArticles
GitHub
GitHub is where people build software. More than 50 million people use GitHub to discover, fork, and contribute to over 100 million projects.
Keynotes, Talks and Tutorials from "useR 2018" Conference
https://goo.gl/pNPRxS @ArtificialIntelligenceArticles
https://goo.gl/pNPRxS @ArtificialIntelligenceArticles
A GUI for making tensor networks
Try it out here : https://guitenet.github.io
Paper here : https://arxiv.org/abs/1808.00532 @ArtificialIntelligenceArticles
Try it out here : https://guitenet.github.io
Paper here : https://arxiv.org/abs/1808.00532 @ArtificialIntelligenceArticles
TODAY - How to watch OpenAI Five Benchmark
Stream starts 12:30p PT on Sunday Aug 5; main event at 1:15p PT. Official stream (English): https://www.twitch.tv/openai
https://blog.openai.com/openai-five
Stream starts 12:30p PT on Sunday Aug 5; main event at 1:15p PT. Official stream (English): https://www.twitch.tv/openai
https://blog.openai.com/openai-five
This is an amazing article that describes deep learning with visuals Intuitively Understanding Convolutions for Deep Learning
https://goo.gl/Shd7r9 @ArtificialIntelligenceArticles
https://goo.gl/Shd7r9 @ArtificialIntelligenceArticles
The Best Machine Learning GitHub Repositories & Reddit Threads from July 2018
https://bit.ly/2vblAbc @ArtificialIntelligenceArticles
https://bit.ly/2vblAbc @ArtificialIntelligenceArticles