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

Semantic Image Synthesis with Spatially-Adaptive Normalization”

Park et al.: https://nvlabs.github.io/SPADE/

#artificialintelligence #deeplearning #generativedesign

Reinforcement Learning for Improving Agent Design"

By David Ha

Blog: https://designrl.github.io
Paper: https://arxiv.org/abs/1810.03779
Code: https://github.com/hardmaru/astool/

#ReinforcementLearning
#MachineLearning #Design

Seven Myths in Machine Learning Research
https://crazyoscarchang.github.io/

Neighbourhood Consensus Networks

Rocco et al.: https://arxiv.org/abs/1810.10510

#ArtificialIntelligence #DeepLearning #MachineLearning #NeuralNetworks #nips2018

Coconet 🥥

The ML model behind yesterday’s Bach Doodle. By Huang et al.:

https://magenta.tensorflow.org/coconet

#artificialintelligence #deeplearning #machinelearning #tensorflow #tensorflowjs

This resume does not exist

The following resume is generated by neural network trained on public resources.

By Enhancv: https://thisresumedoesnotexist.com/

#artificialintelligence #deeplearning #generativeadversarialnetworks

This Waifu Does Not Exist

StyleGAN-generated anime face & GPT-2-small-generated anime plot: https://www.thiswaifudoesnotexist.net/

#ArtificialIntelligence #generativeadversarialnetworks #StyleGAN

Best Practices of ML Engineering"

https://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf

#ArtificialIntelligence #DeepLearning #MachineLearning