Neural MMO — A Massively Multiagent Game Environment

By OpenAI: https://blog.openai.com/neural-mmo/

- Code: https://github.com/openai/neural-mmo
- 3D Client: https://github.com/jsuarez5341/neural-mmo-client

#artificialintelligence #deeplearning #multiagent #reinforcementlearning

Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure

https://www.aies-conference.com/wp-content/papers/main/AIES-19_paper_220.pdf

#artificialintelligence #deeplearning #machinelearning

AI & Architecture
An Experimental Perspective

By Stanislas Chaillou, Harvard Graduate School of Design:

https://towardsdatascience.com/ai-architecture-f9d78c6958e0

#artificialintelligence #architecture #design #deeplearning #technology

Launching TensorFlow Lite for Microcontrollers

https://petewarden.com/2019/03/07/launching-tensorflow-lite-for-microcontrollers/


#artificialintelligence #deeplearning #microcontrollers #tensorflow #tensorflow20

Viewing Matrices & Probability as Graphs

A nice fact I like: Every matrix corresponds to a graph, and so familiar things (e.g. matrix multiplication) have nice pictures! Another nice fact: joint probability distributions *also* correspond to graphs. They have telling pictures, too. New blog post

Blog by Math3ma: https://www.math3ma.com/blog/matrices-probability-graphs

#graphs #matrices #probability

Machine Learning Holographic Mapping by Neural Network Renormalization Group

Hu et al.: https://arxiv.org/abs/1903.00804

#ArtificialIntelligence #NeuralNetworks #MachineLearning #StatisticalMechanics #Physics

TensorFlow Dev Summit 2019

https://www.youtube.com/playlist

A Few Unusual Autoencoders


https://colinraffel.com/talks/vector2018few.pdf

Speech and Language Processing (3rd ed. draft)
Dan Jurafsky and James H. Martin
https://web.stanford.edu/~jurafsky/slp3/

#BOOK

The new method is far faster and more efficient than previous methods

https://edgy.app/deep-learning-planet-masses

Diabetic retinopathy screening can only be done by specialists. Diabetic retinopathy is a complication affecting one in three people with diabetes. Without early detection and timely treatment, it can lead to partial loss of vision or blindness. Trial shows GP (general practitioner) screenings with technology as effective as a specialist.


https://www.csiro.au/en/Research/BF/Areas/Digital-health/Improving-access/Diabetic-retinopathy

This is important.

https://www.technologynetworks.com/neuroscience/news/how-synaptic-learning-depends-on-deep-brain-feedback-313436

Supervised learning with quantum-enhanced feature spaces

- Vojtěch Havlíček et. al.

Nature Version:
https://www.nature.com/articles/s41586-019-0980-2

Free Access:
https://arxiv.org/pdf/1804.11326

Google’s dataset search: https://toolbox.google.com/datasetsearch

#dataset #artificialintelligence #datasets #deeplearning #machinelearning

Deep Learning Drizzle

"Read enough so you start developing intuitions and then trust your intuitions and go for it!" ​- Geoffrey Hinton
https://deep-learning-drizzle.github.io/

#artificialintelligence #deeplearning #machinelearning

The Neural Aesthetic

Notes and around 30 hours of video lectures, by Gene Kogan: https://ml4a.github.io/classes/itp-F18/

#art #artificialintelligence #deeplearning #generativeadversarialnetworks

Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly

By K. Kandasamy et al.: https://www.cs.cmu.edu/~kkandasa/docs/proposal.pdf

Python Library: https://github.com/dragonfly/dragonfly/
Docs: https://dragonfly-opt.readthedocs.io/en/master/

#ArtificialIntelligence #DeepLearning #MachineLearning

Tracking Progress in Natural Language Processing

By Sebastian Ruder: https://github.com/sebastianruder/NLP-progress

#deeplearning #machinelearning #naturallanguageprocessing