Advanced Deep Learning Course, by DeepMind @ArtificialIntelligenceArticles
https://www.youtube.com/watch?v=eMIcjYhUdCY
https://www.youtube.com/watch?v=eMIcjYhUdCY
Decrappifying brain images with deep learning
https://www.eurekalert.org/pub_releases/2020-01/uota-dbi010820.php
https://www.eurekalert.org/pub_releases/2020-01/uota-dbi010820.php
EurekAlert!
Decrappifying brain images with deep learning
To understand brain functions, it is necessary to first map how different cells and cell parts interact in three-dimensions. Doing so with existing equipment and methods has been a challenge. Researchers from the Salk Institute developed an approach usingโฆ
The year in AI: 2019 ML/AI advances recap https://medium.com/@xamat/the-year-in-ai-2019-ml-ai-advances-recap-c6cc1d902d5
Some of the brightest minds in #AI express their hopes for 2020๐
Good read https://blog.deeplearning.ai/blog/the-batch-happy-new-year-hopes-for-ai-in-2020-yann-lecun-kai-fu-lee-anima-anandkumar-richard-socher
Good read https://blog.deeplearning.ai/blog/the-batch-happy-new-year-hopes-for-ai-in-2020-yann-lecun-kai-fu-lee-anima-anandkumar-richard-socher
Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning
Eun Seo Jo and Timnit Gebru : https://arxiv.org/abs/1912.10389
#MachineLearning #ArtificialIntelligence #Society
Eun Seo Jo and Timnit Gebru : https://arxiv.org/abs/1912.10389
#MachineLearning #ArtificialIntelligence #Society
Did you know that now it is possible to search for datasets just like searching for images in Google? This makes easier than ever the searching of data to train our machine learning methods.
PS: Remember that as a good practice in data science you always have to clean and prepare any dataset before using it!
https://toolbox.google.com/datasetsearch
#datascience
#machinelearning
PS: Remember that as a good practice in data science you always have to clean and prepare any dataset before using it!
https://toolbox.google.com/datasetsearch
#datascience
#machinelearning
CIS professor and arXiv.org founder receives physics award
Paul Ginsparg, Ph.D., professor of physics and information science, founder of arXiv, has been named the recipient of the American Institute of Physics 2020 Karl Taylor Compton Medal for Leadership in Physics.
He deserved the recognition!
https://news.cornell.edu/stories/2020/01/cis-professor-and-arxiv-founder-receives-physics-award
Paul Ginsparg, Ph.D., professor of physics and information science, founder of arXiv, has been named the recipient of the American Institute of Physics 2020 Karl Taylor Compton Medal for Leadership in Physics.
He deserved the recognition!
https://news.cornell.edu/stories/2020/01/cis-professor-and-arxiv-founder-receives-physics-award
Cornell Chronicle
Ginsparg, Ph.D. โ81, arXiv founder, receives physics award | Cornell Chronicle
Paul Ginsparg, Ph.D. โ81, professor of physics and information science, is the recipient of the American Institute of Physics 2020 Karl Taylor Compton Medal for Leadership in Physics.
Senior Machine Learning Engineer
https://ai-jobs.net/job/senior-machine-learning-engineer-13/
https://ai-jobs.net/job/senior-machine-learning-engineer-13/
With Links to everything:
Elements of Statistical Learning: https://statweb.stanford.edu/~tibs/ElemStatLearn/printings/ESLII_print10.pdf
Andrew Ng's Coursera Course: https://www.coursera.org/learn/machine-learning/home/info
The Deep Learning Book: https://www.deeplearningbook.org/front_matter.pdf
Put tensor flow or torch on a linux box and run examples: https://cs231n.github.io/aws-tutorial/
Keep up with the research: https://arxiv.org
Resume Filler - Kaggle Competitions: https://www.kaggle.com
Arxiv-sanity is pretty good for looking up arXiv papers. I've recently been making my own arXiv paper reader (https://www.lobal.io/). The intention is that you'd be able to see today's arXiv papers at a glance.
https://www.arxiv-sanity.com/
Elements of Statistical Learning: https://statweb.stanford.edu/~tibs/ElemStatLearn/printings/ESLII_print10.pdf
Andrew Ng's Coursera Course: https://www.coursera.org/learn/machine-learning/home/info
The Deep Learning Book: https://www.deeplearningbook.org/front_matter.pdf
Put tensor flow or torch on a linux box and run examples: https://cs231n.github.io/aws-tutorial/
Keep up with the research: https://arxiv.org
Resume Filler - Kaggle Competitions: https://www.kaggle.com
Arxiv-sanity is pretty good for looking up arXiv papers. I've recently been making my own arXiv paper reader (https://www.lobal.io/). The intention is that you'd be able to see today's arXiv papers at a glance.
https://www.arxiv-sanity.com/
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Github: https://github.com/facebookresearch/SlowFast
Paper: https://arxiv.org/pdf/1812.03982v3.pdf
Github: https://github.com/facebookresearch/SlowFast
Paper: https://arxiv.org/pdf/1812.03982v3.pdf
GitHub
GitHub - facebookresearch/SlowFast: PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models. - facebookresearch/SlowFast
Artificial Intelligence Improves Brain Tumor Diagnosis
https://labblog.uofmhealth.org/health-tech/artificial-intelligence-improves-brain-tumor-diagnosis
https://labblog.uofmhealth.org/health-tech/artificial-intelligence-improves-brain-tumor-diagnosis
labblog.uofmhealth.org
Artificial Intelligence Improves Brain Tumor Diagnosis
Deep Learning State of the Art (2020) | MIT Deep Learning Series
https://www.youtube.com/watch?v=0VH1Lim8gL8
https://www.youtube.com/watch?v=0VH1Lim8gL8
YouTube
Deep Learning State of the Art (2020)
Lecture on most recent research and developments in deep learning, and hopes for 2020. This is not intended to be a list of SOTA benchmark results, but rather a set of highlights of machine learning and AI innovations and progress in academia, industry, andโฆ
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Paszke et al.: https://arxiv.org/abs/1912.01703
#ArtificialIntelligence #DeepLearning #PyTorch
Paszke et al.: https://arxiv.org/abs/1912.01703
#ArtificialIntelligence #DeepLearning #PyTorch
On the Relationship between Self-Attention and Convolutional Layers
Jean-Baptiste Cordonnier, Andreas Loukas, Martin Jaggi: https://openreview.net/forum?id=HJlnC1rKPB
#ArtificialIntelligence #DeepLearning #Transformers
Jean-Baptiste Cordonnier, Andreas Loukas, Martin Jaggi: https://openreview.net/forum?id=HJlnC1rKPB
#ArtificialIntelligence #DeepLearning #Transformers
OpenReview
On the Relationship between Self-Attention and Convolutional Layers
A self-attention layer can perform convolution and often learns to do so in practice.
๐๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ ๐ถ๐ป ๐๐ฒ๐ฎ๐น๐๐ต๐ฐ๐ฎ๐ฟ๐ฒ.
Very interesting and comprehensive 67-page article on the applications of AI in health and health care.
Download: https://www.healthit.gov/sites/default/files/jsr-17-task-002_aiforhealthandhealthcare12122017.pdf
Very interesting and comprehensive 67-page article on the applications of AI in health and health care.
Download: https://www.healthit.gov/sites/default/files/jsr-17-task-002_aiforhealthandhealthcare12122017.pdf
Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands
Hans Pinckaers, Geert Litjens : https://arxiv.org/abs/1910.10470
GitHub : https://github.com/DIAGNijmegen/neural-odes-segmentation
#MedNeurIPS #NeurIPS #NeurIPS2019
Hans Pinckaers, Geert Litjens : https://arxiv.org/abs/1910.10470
GitHub : https://github.com/DIAGNijmegen/neural-odes-segmentation
#MedNeurIPS #NeurIPS #NeurIPS2019
arXiv.org
Neural Ordinary Differential Equations for Semantic Segmentation...
Automated medical image segmentation plays a key role in quantitative research and diagnostics. Convolutional neural networks based on the U-Net architecture are the state-of-the-art. A key...
"Linear Algebra"
Instructor : Prof. Gilbert Strang
MIT OpenCourseWare : https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/
#LinearAlgebra #MatrixTheory
Instructor : Prof. Gilbert Strang
MIT OpenCourseWare : https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/
#LinearAlgebra #MatrixTheory
Machine Learning from scratch!
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library, by Quan Tran: https://github.com/anhquan0412/basic_model_scratch
#ArtificialIntelligence #DeepLearning #NeuralNetworks #MachineLearning
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library, by Quan Tran: https://github.com/anhquan0412/basic_model_scratch
#ArtificialIntelligence #DeepLearning #NeuralNetworks #MachineLearning
GitHub
GitHub - anhquan0412/basic_model_scratch: Implementation of some classic Machine Learning model from scratch and benchmarking againstโฆ
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library - GitHub - anhquan0412/basic_model_scratch: Implementation of some classic Machine Lea...