Generalizable Autonomy for Robot Manipulation https://www.youtube.com/watch?v=8Kn4Gi8iSYQ
YouTube
MIT 6.S191 (2020): Generalizable Autonomy for Robot Manipulation
MIT Introduction to Deep Learning 6.S191: Lecture 8
Generalizable Autonomy for Robot Manipulation
Lecturer: Animesh Garg (NVIDIA & University of Toronto)
January 2020
For all lectures, slides, and lab materials: http://introtodeeplearning.com
Lecture Outline…
Generalizable Autonomy for Robot Manipulation
Lecturer: Animesh Garg (NVIDIA & University of Toronto)
January 2020
For all lectures, slides, and lab materials: http://introtodeeplearning.com
Lecture Outline…
Understanding the limits of convolutional neural networks — one of AI’s greatest achievements
https://thenextweb.com/neural/2020/03/20/understanding-the-limits-of-convolutional-neural-networks-one-of-ais-greatest-achievements-syndication/
https://thenextweb.com/neural/2020/03/20/understanding-the-limits-of-convolutional-neural-networks-one-of-ais-greatest-achievements-syndication/
Neural | The Next Web
Understanding the limits of convolutional neural networks — one of AI’s greatest achievements
After a prolonged winter, artificial intelligence is experiencing a scorching summer mainly thanks to advances in deep learning and artificial neural networks. To be more precise, the renewed interest in deep learning is largely due to the success of convolutional…
MIT offers free video lectures and online materials from more than 2,400 courses, including intro classes in computer science, AI and algorithms.
Browse our open CS courses here:
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/
Browse our open CS courses here:
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/
MIT OpenCourseWare
Search | MIT OpenCourseWare | Free Online Course Materials
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"Learning Object Permanence from Video"
Aviv Shamsian et al.: https://arxiv.org/abs/2003.10469
Website: https://chechiklab.biu.ac.il/~avivshamsian/OP/OP_HTML.html
Github: https://github.com/ofrikleinfeld/ObjectPermanence
#ArtificialIntelligence #DeepLearning #MachineLearning
Aviv Shamsian et al.: https://arxiv.org/abs/2003.10469
Website: https://chechiklab.biu.ac.il/~avivshamsian/OP/OP_HTML.html
Github: https://github.com/ofrikleinfeld/ObjectPermanence
#ArtificialIntelligence #DeepLearning #MachineLearning
Deep reinforcement learning for de novo drug design
Popova et al.: https://advances.sciencemag.org/content/4/7/eaap7885
Code:
https://t.me/ArtificialIntelligenceArticles
https://github.com/isayev/ReLeaSE
#Covid19Response #DeepLearning #ReinforcementLearning
Popova et al.: https://advances.sciencemag.org/content/4/7/eaap7885
Code:
https://t.me/ArtificialIntelligenceArticles
https://github.com/isayev/ReLeaSE
#Covid19Response #DeepLearning #ReinforcementLearning
Science Advances
Deep reinforcement learning for de novo drug design
We have devised and implemented a novel computational strategy for de novo design of molecules with desired properties termed ReLeaSE (Reinforcement Learning for Structural Evolution). On the basis of deep and reinforcement learning (RL) approaches, ReLeaSE…
Code for modelling estimated deaths and cases for COVID19
Model from Report 13 of the Imperial College COVID-19 Response Team. GitHub: https://github.com/ImperialCollegeLondon/covid19model
#Covid19Response #DataScience #Modeling
Model from Report 13 of the Imperial College COVID-19 Response Team. GitHub: https://github.com/ImperialCollegeLondon/covid19model
#Covid19Response #DataScience #Modeling
GitHub
GitHub - ImperialCollegeLondon/covid19model: Code for modelling estimated deaths and cases for COVID19.
Code for modelling estimated deaths and cases for COVID19. - GitHub - ImperialCollegeLondon/covid19model: Code for modelling estimated deaths and cases for COVID19.
Recent Stanford-offered Covid19 Data Science course!
https://sites.google.com/view/data-science-covid-19
https://sites.google.com/view/data-science-covid-19
Free platform to assist COVID-19 response efforts
https://www.elementai.com/covid-research
https://www.elementai.com/covid-research
Element AI
A shared AI platform with a shared goal.
Thank you for your interest in the Element AI COVID-19 search platform
Suphx: Mastering Mahjong with Deep Reinforcement Learning
Li et al.: https://arxiv.org/abs/2003.13590
#ArtificialIntelligence #DeepLearning #ReinforcementLearning
Li et al.: https://arxiv.org/abs/2003.13590
#ArtificialIntelligence #DeepLearning #ReinforcementLearning
This page from Mila - Institut Québécois d'Intelligence Artificielle mention "LambdaZero", which uses MCTS to navigate the space of molecules "to find much better drug candidate molecules and do it very fast": https://mila.quebec/en/ai-society/exascale-search-of-molecules/
I can't seem to find any public info on "LambdaZero".
@ArtificialIntelligenceArticles
Does anybody have information?
Yoshua Bengio?
In the current context this code could save human lives.
https://t.me/ArtificialIntelligenceArticles
I can't seem to find any public info on "LambdaZero".
@ArtificialIntelligenceArticles
Does anybody have information?
Yoshua Bengio?
In the current context this code could save human lives.
https://t.me/ArtificialIntelligenceArticles
Mila
Exascale search of molecules - Mila
Affinity: Deep learning library for molecular geometry
Korablyov et al., Molecular Machines Group, MIT Media Lab: https://affinity.mit.edu
#DeepLearning #DrugDiscovery #TensorFlow
Korablyov et al., Molecular Machines Group, MIT Media Lab: https://affinity.mit.edu
#DeepLearning #DrugDiscovery #TensorFlow
Development and evaluation of a deep learning model for protein–ligand binding affinity prediction
Stepniewska-Dziubinska et al.: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198856/
#DeepLearning #Protein #Binding
Stepniewska-Dziubinska et al.: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198856/
#DeepLearning #Protein #Binding
PubMed Central (PMC)
Development and evaluation of a deep learning model for protein–ligand binding affinity prediction
Structure based ligand discovery is one of the most successful approaches for augmenting the drug discovery process. Currently, there is a notable shift towards machine learning (ML) methodologies to aid such procedures. Deep learning has recently gained…
Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity
Gomes et al.: https://arxiv.org/abs/1703.10603
#MachineLearning #ChemicalPhysics #ConvolutionalNetworks
Gomes et al.: https://arxiv.org/abs/1703.10603
#MachineLearning #ChemicalPhysics #ConvolutionalNetworks
10 Useful ML Practices For Python Developers
https://medium.com/modern-nlp/10-great-ml-practices-for-python-developers-b089eefc18fc
https://medium.com/modern-nlp/10-great-ml-practices-for-python-developers-b089eefc18fc
Medium
10 Great ML Practices For Python Developers
Fast bug-free coding
Hi everybody,
I'm looking for any open source information related to this work by Maksym Korablyov:
"Reinforcement learning for predicting protein-ligand binding position and affinity"
Thank you.
#DeepLearning #DrugDiscovery #ReinforcementLearning
I'm looking for any open source information related to this work by Maksym Korablyov:
"Reinforcement learning for predicting protein-ligand binding position and affinity"
Thank you.
#DeepLearning #DrugDiscovery #ReinforcementLearning
https://spectrum.ieee.org/the-human-os/biomedical/imaging/hospitals-deploy-ai-tools-detect-covid19-chest-scans
https://t.me/ArtificialIntelligenceArticles
https://t.me/ArtificialIntelligenceArticles
IEEE Spectrum
Hospitals Deploy AI Tools to Detect COVID-19 on Chest Scans
Deep learning algorithms can diagnose, triage, and monitor coronavirus cases from lung images. Next, can they predict who will need a ventilator?
Protecting Front line American Healthcare Workers Fighting COVID19: Lessons from South Korea
https://www.youtube.com/watch?v=JtDQkaTXC0A&feature=youtu.be https://t.me/ArtificialIntelligenceArticles
https://www.youtube.com/watch?v=JtDQkaTXC0A&feature=youtu.be https://t.me/ArtificialIntelligenceArticles
YouTube
Protecting Front line American Healthcare Workers Fighting COVID19: Lessons from South Korea
This event is a Q&A session with Dr. Doo Ryeon Chung, MD PhD, Director of Infection Prevention and Control at Samsung Medical Center in Seoul, South Korea. H...
New AI System Translates Human Brain Signals Into Text With Up to 97% Accuracy
https://www.sciencealert.com/new-ai-system-translates-human-brain-signals-into-text-with-up-to-97-accuracy/amp
https://www.nature.com/articles/s41593-020-0608-8
https://www.sciencealert.com/new-ai-system-translates-human-brain-signals-into-text-with-up-to-97-accuracy/amp
https://www.nature.com/articles/s41593-020-0608-8
Nature
Machine translation of cortical activity to text with an encoder–decoder framework
Nature Neuroscience - Makin and colleagues decode speech from neural signals recorded during a preoperative procedure, using an algorithm inspired by machine translation. For one participant...