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

Protecting Front line American Healthcare Workers Fighting COVID19: Lessons from South Korea
https://www.youtube.com/watch?v=JtDQkaTXC0A&feature=youtu.be https://t.iss.one/ArtificialIntelligenceArticles

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

In-Domain GAN Inversion for Real Image Editing. https://arxiv.org/abs/2004.00049

ICYMI: The paper describes the initial COVID-19 open image data collection

https://www.profillic.com/paper/arxiv:2003.11597
@ArtificialIntelligenceArticles

Introduction to Reinforcement Learning
By DeepMind : https://youtube.com/watch?v=2pWv7GOvuf0&list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ
@ArtificialIntelligenceArticles
#ArtificialIntelligence #DeepLearning #ReinforcementLearning

NLP with Deep Learning
https://www.youtube.com/watch?v=9oTHFx0Gg3Q
@ArtificialIntelligenceArticles

COVID-19
This repository contains a curated list of resources for constructing mathematical models and doing analysis on COVID-19.
Adwait Naik, GitHub:
@ArtificialIntelligenceArticles https://github.com/addy1997/COVID-19
#AITaskForce #Covid19 #Covid19Resources

https://www.youtube.com/watch?v=V7CY68zH6ps
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 7 - Imitation Learning - YouTube

The Data Engineering team at GitHub is looking for a savvy Data Engineer to join our growing team. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. If you have a passion for data and GitHub we'd love to talk to you. https://ai-jobs.net/job/1001-lead-data-engineer/

AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery
Wallach et al.: https://arxiv.org/abs/1510.02855
#MachineLearning #DeepLearning #Biomolecules