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
ML and agriculture https://medium.com/sciforce/machine-learning-in-agriculture-applications-and-techniques-6ab501f4d1b5
Medium
Machine Learning in Agriculture: Applications and Techniques
Recently we have discussed the emerging concept of smart farming that makes agriculture more efficient and effective with the help of…
Notes on machine learning https://www.holehouse.org/mlclass/
PREdiction Conditioned on Goals in Visual Multi-agent Settings
https://sites.google.com/view/precog
paper https://arxiv.org/pdf/1905.01296.pdf
https://sites.google.com/view/precog
paper https://arxiv.org/pdf/1905.01296.pdf
Google
PRECOG
25 Excellent Machine Learning Open Datasets
https://opendatascience.com/25-excellent-machine-learning-open-datasets/
https://opendatascience.com/25-excellent-machine-learning-open-datasets/
Open Data Science - Your News Source for AI, Machine Learning & more
25 Excellent Machine Learning Open Datasets
Looking to work on some data, but can't collect your own? Here are 25 helpful machine learning open datasets to use today!
Graph Convolutional Networks for Geometric Deep Learning
https://towardsdatascience.com/graph-convolutional-networks-for-geometric-deep-learning-1faf17dee008
https://towardsdatascience.com/graph-convolutional-networks-for-geometric-deep-learning-1faf17dee008
Medium
Graph Convolutional Networks for Geometric Deep Learning
Graph Learning and Geometric Deep Learning — Part 2
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Cynthia Rudin, Duke University
https://www.nature.com/articles/s42256-019-0048-x
ArXiv Version:
https://arxiv.org/pdf/1811.10154
#artificialintelligence #explainableai
#blackbox
Cynthia Rudin, Duke University
https://www.nature.com/articles/s42256-019-0048-x
ArXiv Version:
https://arxiv.org/pdf/1811.10154
#artificialintelligence #explainableai
#blackbox
Nature
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Nature Machine Intelligence - There has been a recent rise of interest in developing methods for ‘explainable AI’, where models are created to explain how a first ‘black...
The network architecture of the human brain is modularly encoded in the genome
Bertolero et al.: https://arxiv.org/abs/1905.07606
#Neurons #Cognition #Genomics #Populations #Evolution
Bertolero et al.: https://arxiv.org/abs/1905.07606
#Neurons #Cognition #Genomics #Populations #Evolution