Gradient Boosting Neural Networks: GrowNet
Badirli et al.: https://arxiv.org/abs/2002.07971v1
#ArtificialIntelligence #GradientBoosting #NeuralNetworks

Backpropagation, Intuitions (Stanford CS231n)
Link: https://cs231n.github.io/optimization-2/

Generalizable Autonomy for Robot Manipulation https://www.youtube.com/watch?v=8Kn4Gi8iSYQ

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/

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/

"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

Deep reinforcement learning for de novo drug design
Popova et al.: https://advances.sciencemag.org/content/4/7/eaap7885
Code:
https://t.iss.one/ArtificialIntelligenceArticles
https://github.com/isayev/ReLeaSE
#Covid19Response #DeepLearning #ReinforcementLearning

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

Recent Stanford-offered Covid19 Data Science course!
https://sites.google.com/view/data-science-covid-19

Free platform to assist COVID-19 response efforts
https://www.elementai.com/covid-research

Suphx: Mastering Mahjong with Deep Reinforcement Learning
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.iss.one/ArtificialIntelligenceArticles

Affinity: Deep learning library for molecular geometry
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

Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity
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

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