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"Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences"

https://www.cell.com/action/showPdf?pii=S0092-8674%2819%2930391-5
A new study using machine learning has identified brain-based dimensions of mental health disorders, an advance towards much-needed biomarkers to more accurately diagnose and treat patients.

The research is in Nature Communications. (full open access)

https://neurosciencenews.com/machine-learning-brain-networks-mental-health-9650/
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting

Sen et al.: https://arxiv.org/abs/1905.03806

#ArtificialIntelligence #DeepLearning #MachineLearning
GAN Lab: Play with Generative Adversarial Networks (GANs) in your browser!
By created by Minsuk Kahng, Nikhil Thorat, Polo Chau, Fernanda Viégas, and Martin Wattenberg: https://poloclub.github.io/ganlab/
Research paper: https://minsuk.com/research/papers/kahng-ganlab-vast2018.pdf
#AI #ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks
Government of Canada creates Advisory Council on Artificial Intelligence
“Artificial intelligence has enormous potential to help us design the responsive digital services that Canadians demand, but it must be used ethically and responsibly. The Advisory Council on Artificial intelligence will give us essential expertise from across industry, academia and government to make sure we use AI in a way that is transparent, deliberate and accountable.” – The Honourable Joyce Murray, President of the Treasury Board and Minister of Digital Government
From Innovation, Science and Economic Development Canada: https://www.canada.ca/en/innovation-science-economic-development/news/2019/05/government-of-canada-creates-advisory-council-on-artificial-intelligence.html
#artificialintelligence #council #canada