Introducing the TensorFlow Developer Certificate!
https://blog.tensorflow.org/2020/03/introducing-tensorflow-developer-certificate.html
https://blog.tensorflow.org/2020/03/introducing-tensorflow-developer-certificate.html
blog.tensorflow.org
Introducing the TensorFlow Developer Certificate!
The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.
#Job PhD position in Cryptography and Machine Learning: Chalmers University of Technology, Sweden https://iacr.org/jobs/item/2164
PhD position now open.
Are you interested in evolution? Can you work with global data sets? Do you want to develop machine learning techniques? Are you excited by the global underground?
Evolutionary Biogeography of Microbial Networks
https://workingat.vu.nl/ad/evolutionary-biogeography-of-microbial-networks/v9ydfv
Are you interested in evolution? Can you work with global data sets? Do you want to develop machine learning techniques? Are you excited by the global underground?
Evolutionary Biogeography of Microbial Networks
https://workingat.vu.nl/ad/evolutionary-biogeography-of-microbial-networks/v9ydfv
workingat.vu.nl
>Working at VU
Google releases millions of free datasets. (from January 23rd, 2020)
https://blog.google/products/search/discovering-millions-datasets-web/
https://news.1rj.ru/str/ArtificialIntelligenceArticles
https://blog.google/products/search/discovering-millions-datasets-web/
https://news.1rj.ru/str/ArtificialIntelligenceArticles
Google
Discovering millions of datasets on the web
Dataset Search launches publicly with an index of 25 million datasets, helping scientists, journalists, students, data geeks to find data.
Sebastian Raschka
STAT 453 -- Introduction to Deep Learning and Generative Models (Spring 2020)
http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2020/
https://github.com/rasbt/stat453-deep-learning-ss20/blob/master/L06-pytorch/code/adaline-with-autograd.ipynb
STAT 453 -- Introduction to Deep Learning and Generative Models (Spring 2020)
http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2020/
https://github.com/rasbt/stat453-deep-learning-ss20/blob/master/L06-pytorch/code/adaline-with-autograd.ipynb
pages.stat.wisc.edu
STAT 453 -- Introduction to Deep Learning and Generative Models (Spring 2020) - Dr. Raschka
Sebastian Raschka @ UW-Madison Stats
Fast and Easy Infinitely Wide Networks with Neural Tangents
Blog by Samuel S. Schoenholz and Roman Novak: https://ai.googleblog.com/2020/03/fast-and-easy-infinitely-wide-networks.html
#ArtificialIntelligence #MachineLearning #DeepLearning
Blog by Samuel S. Schoenholz and Roman Novak: https://ai.googleblog.com/2020/03/fast-and-easy-infinitely-wide-networks.html
#ArtificialIntelligence #MachineLearning #DeepLearning
research.google
Fast and Easy Infinitely Wide Networks with Neural Tangents
Posted by Samuel S. Schoenholz, Senior Research Scientist and Roman Novak, Research Engineer, Google Research The widespread success of deep lear...
MIT’s deep learning found an antibiotic for a germ nothing else could kill | ZDNet
https://www.zdnet.com/article/mits-deep-learning-found-an-antibiotic-for-a-germ-nothing-else-could-kill/
https://www.zdnet.com/article/mits-deep-learning-found-an-antibiotic-for-a-germ-nothing-else-could-kill/
ZDNet
MIT’s deep learning found an antibiotic for a germ nothing else could kill
Scientists at MIT and Harvard’s Broad Institute and MIT’s CSAIL built a deep learning network that can acquire a broad representation of molecular structure and thereby discover novel antibiotics. The resulting compound, halicin, can destroy a pathogen for…
A great opinion piece by Robert M. Sapolsky.
https://edition.cnn.com/2020/03/13/opinions/coronavirus-neuroscience-brain-decisions-sapolsky/index.html
https://edition.cnn.com/2020/03/13/opinions/coronavirus-neuroscience-brain-decisions-sapolsky/index.html
CNN
Our brains on coronavirus | CNN
Robert M. Sapolsky explains how our brains are wired to make bad decisions in times of stress. And while we can’t change our neurobiology, “we can be on guard against the worst tendencies our brains generate at such times.”
Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China
https://link.springer.com/article/10.1007/s00134-020-05991-x
https://link.springer.com/article/10.1007/s00134-020-05991-x
SpringerLink
Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China
Intensive Care Medicine -
TensorFlowJS for natural language processing
EXPLORING HELPFUL USES FOR BERT IN YOUR BROWSER WITH TENSORFLOW.JS
Blog by Philip Bayer, Ping Yu and Jason Mayes: https://blog.tensorflow.org/2020/03/exploring-helpful-uses-for-bert-in-your-browser-tensorflow-js.html
EXPLORING HELPFUL USES FOR BERT IN YOUR BROWSER WITH TENSORFLOW.JS
Blog by Philip Bayer, Ping Yu and Jason Mayes: https://blog.tensorflow.org/2020/03/exploring-helpful-uses-for-bert-in-your-browser-tensorflow-js.html
blog.tensorflow.org
Exploring helpful uses for BERT in your browser with Tensorflow.js
There’s a lot of exciting research happening now exploring helpful uses of BERT for language. We wondered: what if we made BERT even more accessible, right in your web browser? What possible uses might this enable?
It’s easy to ask Google a question like…
It’s easy to ask Google a question like…
Softmax Splatting for Video Frame Interpolation
Paper: https://arxiv.org/pdf/2003.05534.pdf
Github: https://github.com/sniklaus/softmax-splatting
Paper: https://arxiv.org/pdf/2003.05534.pdf
Github: https://github.com/sniklaus/softmax-splatting
Machine learning in physics: The pitfalls of poisoned training sets
Fang et al.: https://arxiv.org/abs/2003.05087
https://news.1rj.ru/str/ArtificialIntelligenceArticles
#MachineLearning #NeuralNetworks #Physics
Fang et al.: https://arxiv.org/abs/2003.05087
https://news.1rj.ru/str/ArtificialIntelligenceArticles
#MachineLearning #NeuralNetworks #Physics
Telegram
ArtificialIntelligenceArticles
for who have a passion for -
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
6. #ResearchPapers
7. Related Courses and Ebooks
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
6. #ResearchPapers
7. Related Courses and Ebooks
A database with over 24,000 research papers related to the coronavirus pandemic is now live. The database not only helps scientists consolidate existing research but also makes the body of literature easier to mine for insights with artificial intelligence.
https://www.technologyreview.com/s/615367/coronavirus-24000-research-papers-available-open-data/
https://www.technologyreview.com/s/615367/coronavirus-24000-research-papers-available-open-data/
MIT Technology Review
Over 24,000 coronavirus research papers are now available in one place
The news: Today researchers collaborating across several organizations released the Covid-19 Open Research Dataset (CORD-19), which includes over 24,000 research papers from peer-reviewed journals as well as sources like bioRxiv and medRxiv (websites where…
CORD-19: A Kaggle challenge for the Natural Language Processing community.
Dataset of 29,000 scholarly article (including 13,000 with full text), about COVID-19 and related coronaviruses.
Help answers questions like "what do we know about COVID-19 risk factors?" by mining the literature.
@ArtificialIntelligenceArticles
Created by the Allen Institute for AI in partnership with the Chan-Zuckerberg Initiative, Georgetown University, Microsoft Research, and the National Library of Medicine.
https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge
https://news.1rj.ru/str/ArtificialIntelligenceArticles
Dataset of 29,000 scholarly article (including 13,000 with full text), about COVID-19 and related coronaviruses.
Help answers questions like "what do we know about COVID-19 risk factors?" by mining the literature.
@ArtificialIntelligenceArticles
Created by the Allen Institute for AI in partnership with the Chan-Zuckerberg Initiative, Georgetown University, Microsoft Research, and the National Library of Medicine.
https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge
https://news.1rj.ru/str/ArtificialIntelligenceArticles
Kaggle
COVID-19 Open Research Dataset Challenge (CORD-19)
An AI challenge with AI2, CZI, MSR, Georgetown, NIH & The White House
White House urges researchers to use AI to analyze 29,000 coronavirus papers
Paresh Dave, Reuters: https://www.reuters.com/article/us-health-coronavirus-tech-research-idUSKBN2133E6
#ArtificialIntelligence #CoronaVirus #CoronaOutbreak #DeepLearning #MontrealAI
Paresh Dave, Reuters: https://www.reuters.com/article/us-health-coronavirus-tech-research-idUSKBN2133E6
#ArtificialIntelligence #CoronaVirus #CoronaOutbreak #DeepLearning #MontrealAI
Reuters
White House urges researchers to use AI to analyze 29,000 coronavirus papers
SAN FRANCISCO (Reuters) - The White House’s Office of Science and Technology Policy on Monday challenged researchers to use artificial intelligence technology to analyze about 29,000 scholarly articles to answer key questions about the coronavirus.