The AI Supply Chain Runs on Ignorance
By Sidney Fussell : https://www.theatlantic.com/technology/archive/2019/05/ever-strava-ai-human-ignorance/589306/
#AISupplyChain #ArtificialIntelligence #SupplyChainTech
By Sidney Fussell : https://www.theatlantic.com/technology/archive/2019/05/ever-strava-ai-human-ignorance/589306/
#AISupplyChain #ArtificialIntelligence #SupplyChainTech
Ford government slashes funding to research institutes focused on artificial intelligence
By Kate Allen:
https://www.thestar.com/news/gta/2019/05/19/ford-government-slashes-funding-to-research-institutes-focused-on-artificial-intelligence.html https://t.iss.one/ArtificialIntelligenceArticles
#ArtificialIntelligence #Ontario #Canada #Research
By Kate Allen:
https://www.thestar.com/news/gta/2019/05/19/ford-government-slashes-funding-to-research-institutes-focused-on-artificial-intelligence.html https://t.iss.one/ArtificialIntelligenceArticles
#ArtificialIntelligence #Ontario #Canada #Research
Check out our new #GAN work on person re-id. Training data is one of the keys to deep learning😈. Given N images, our #cvpr19 oral paper could generate O(NxN) high-fidelity images for training.
Paper link: https://arxiv.org/abs/1904.07223
Full Video: https://www.youtube.com/watch?v=ubCrEAIpQs4
#NVIDIA #UTS #ANU
Paper link: https://arxiv.org/abs/1904.07223
Full Video: https://www.youtube.com/watch?v=ubCrEAIpQs4
#NVIDIA #UTS #ANU
arXiv.org
Joint Discriminative and Generative Learning for Person Re-identification
Person re-identification (re-id) remains challenging due to significant intra-class variations across different cameras. Recently, there has been a growing interest in using generative models to...
Alex Conneau defends his PhD at FAIR-Paris.
He and Guillaume Lample showed that completely-unsupervised language translation is feasible.
Their latest work on unsupervised training of large multilingual transformer auto-encoders can be found here: https://arxiv.org/abs/1901.07291
He and Guillaume Lample showed that completely-unsupervised language translation is feasible.
Their latest work on unsupervised training of large multilingual transformer auto-encoders can be found here: https://arxiv.org/abs/1901.07291
arXiv.org
Cross-lingual Language Model Pretraining
Recent studies have demonstrated the efficiency of generative pretraining for English natural language understanding. In this work, we extend this approach to multiple languages and show the...
Top 100 trending repository of GitHub for Deep learning
https://github.com/mbadry1/Trending-Deep-Learning
https://github.com/mbadry1/Trending-Deep-Learning
GitHub
GitHub - mbadry1/Trending-Deep-Learning: Top 100 trending deep learning repositories sorted by the number of stars gained on a…
Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day. - mbadry1/Trending-Deep-Learning
SinGAN: Learning a Generative Model from a Single Natural Image
Shaham et al.: https://arxiv.org/abs/1905.01164v1
#ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks
Shaham et al.: https://arxiv.org/abs/1905.01164v1
#ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks
Code of conduct for using Artificial Intelligence in healthcare
#artificialintelligence #healthtech #healthcare #codeofconduct #ethics
https://www.nature.com/articles/s42256-019-0056-x.epdf
#artificialintelligence #healthtech #healthcare #codeofconduct #ethics
https://www.nature.com/articles/s42256-019-0056-x.epdf
Nature Machine Intelligence
Code of conduct for using AI in healthcare
Effy Vayena runs a lab at ETH Zürich that studies ethics, legal and social implications of precision medicine and digital health. We asked her views on the code of conduct for using artificial intelligence (AI) systems in healthcare, recently published by…
Time for a new approach for studying AI?
https://www.digitaljournal.com/tech-and-science/technology/time-for-a-new-approach-for-studying-ai/article/549557
https://www.digitaljournal.com/tech-and-science/technology/time-for-a-new-approach-for-studying-ai/article/549557
Digital Journal
Time for a new approach for studying AI?
As artificial intelligence develops the effect of algorithms and machine learning pervade more sectors of society. To understand what is happening needs a new multidisciplinary approach, according to CIFAR researchers.
CompILE: Compositional Imitation Learning and Execution
Kipf et al.: https://arxiv.org/abs/1812.01483
Code: https://github.com/tkipf/compile
#ArtificialIntelligence #DeepLearning #MachineLearning
Kipf et al.: https://arxiv.org/abs/1812.01483
Code: https://github.com/tkipf/compile
#ArtificialIntelligence #DeepLearning #MachineLearning
International Conference on Robotics and Automation
May 20-24, 2019,
Web: www.icra2019.org
#ArtificialIntelligence #ICRA #ICRA2019 #Robotics #Montreal
May 20-24, 2019,
Web: www.icra2019.org
#ArtificialIntelligence #ICRA #ICRA2019 #Robotics #Montreal
"Evolving Rewards to Automate Reinforcement Learning"
Faust et al.: https://arxiv.org/abs/1905.07628
#AutoRL #MachineLearning #ReinforcementLearning
Faust et al.: https://arxiv.org/abs/1905.07628
#AutoRL #MachineLearning #ReinforcementLearning
https://www.quantamagazine.org/hidden-heroines-of-chaos-ellen-fetter-and-margaret-hamilton-20190520/ Massachusetts Institute of Technology (MIT)
Quanta Magazine
The Hidden Heroines of Chaos
Two women programmers played a pivotal role in the birth of chaos theory. Their previously untold story illustrates the changing status of computation in science.
PaperRobot: Incremental Draft Generation of Scientific Ideas
Wang et al.: https://arxiv.org/abs/1905.07870
#ArtificialIntelligence #DeepLearning #MachineLearning
Wang et al.: https://arxiv.org/abs/1905.07870
#ArtificialIntelligence #DeepLearning #MachineLearning
arXiv.org
PaperRobot: Incremental Draft Generation of Scientific Ideas
We present a PaperRobot who performs as an automatic research assistant by (1) conducting deep understanding of a large collection of human-written papers in a target domain and constructing...
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
A multi-agent platform on top of ML-Agents and Unity.
Song et al.: https://arxiv.org/abs/1905.08085
#MultiagentSystems #ReinforcementLearning #ArtificialIntelligence
A multi-agent platform on top of ML-Agents and Unity.
Song et al.: https://arxiv.org/abs/1905.08085
#MultiagentSystems #ReinforcementLearning #ArtificialIntelligence
https://news.uns.purdue.edu/images/2019/ramanathan-biosensor.jpg
Purdue university, new quantum material, perovskite nickelate SmNiO3, capable of “listening” to the brain by grabbing atoms, which the brain uses in neural processing.
Purdue university, new quantum material, perovskite nickelate SmNiO3, capable of “listening” to the brain by grabbing atoms, which the brain uses in neural processing.
Tools like PyTorch, fast.ai, and open source datasets are making deep learning faster and more accessible. Learn how one ML hobbyist used these resources to train a convolutional neural network that can classify gastrointestinal images.
https://medium.freecodecamp.org/how-i-used-deep-learning-to-classify-medical-images-with-fast-ai-cc4cfd64173c
https://medium.freecodecamp.org/how-i-used-deep-learning-to-classify-medical-images-with-fast-ai-cc4cfd64173c
freeCodeCamp.org
How I used Deep Learning to classify medical images with Fast.ai
Convolutional Neural Networks (CNNs) have rapidly advanced the last two years helping with medical image classification. How can we, even…
We are open-sourcing Pythia, a deep learning platform to support multitasking for vision and language tasks. With Pythia, researchers can more easily build, reproduce, and benchmark AI models.
https://code.fb.com/ai-research/pythia/
https://code.fb.com/ai-research/pythia/
Engineering at Meta
Releasing Pythia for vision and language multimodal AI models
Pythia is a new open source deep learning framework that enables researchers to quickly build, reproduce, and benchmark AI models.
NVIDIA DLSS technology is now live in Anthem!
Use the power of deep learning and AI to help players achieve smooth frame rates with graphically-intensive settings.
Learn more → https://www.nvidia.com/en-us/geforce/news/anthem-nvidia-dlss-highlights/
Use the power of deep learning and AI to help players achieve smooth frame rates with graphically-intensive settings.
Learn more → https://www.nvidia.com/en-us/geforce/news/anthem-nvidia-dlss-highlights/
NVIDIA GeForce
Anthem Adds NVIDIA DLSS and NVIDIA Highlights In New Update
Get up to 40% faster performance on GeForce RTX graphics cards, and automatically capture your best gameplay moments for quick and easy sharing online.
Course material for STAT 479: Deep Learning (SS 2019) course at University Wisconsin-Madison
https://github.com/rasbt/stat479-deep-learning-ss19/blob/master/L02_dl-history/L02_dl-history_slides.pdf
https://github.com/rasbt/stat479-deep-learning-ss19/blob/master/L02_dl-history/L02_dl-history_slides.pdf
GitHub
rasbt/stat479-deep-learning-ss19
Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison - rasbt/stat479-deep-learning-ss19