Minister Bains announces investment to accelerate medical breakthroughs that will enable truly personalized health care
“This investment promises not only to improve the future of Canadians’ health but also to do it with made-in-Canada solutions. By harnessing Canada’s strengths in health research and AI, we’re helping to usher in a new era of more personalized care that will mean better health outcomes. We’re excited to see all the new health and biosciences innovations that will result from this collaboration.” – The Honourable Navdeep Bains, Minister of Innovation, Science and Economic Development
From: Innovation, Science and Economic Development Canada https://www.canada.ca/en/innovation-science-economic-development/news/2019/05/minister-bains-announces-investment-to-accelerate-medical-breakthroughs-that-will-enable-truly-personalized-health-care.html
#artificialintelligence #canada #health #innovation #research
“This investment promises not only to improve the future of Canadians’ health but also to do it with made-in-Canada solutions. By harnessing Canada’s strengths in health research and AI, we’re helping to usher in a new era of more personalized care that will mean better health outcomes. We’re excited to see all the new health and biosciences innovations that will result from this collaboration.” – The Honourable Navdeep Bains, Minister of Innovation, Science and Economic Development
From: Innovation, Science and Economic Development Canada https://www.canada.ca/en/innovation-science-economic-development/news/2019/05/minister-bains-announces-investment-to-accelerate-medical-breakthroughs-that-will-enable-truly-personalized-health-care.html
#artificialintelligence #canada #health #innovation #research
www.canada.ca
Minister Bains announces investment to accelerate medical breakthroughs that will enable truly personalized health care - Canada.ca
From the discovery of insulin to stem cell research, Canadians have long been at the forefront of groundbreaking innovations in health and biosciences.
Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making
Cai et al.: https://arxiv.org/abs/1902.02960
#humancentered #machinelearning #medical #innovation #technology
Cai et al.: https://arxiv.org/abs/1902.02960
#humancentered #machinelearning #medical #innovation #technology
An Algorithmic Barrier to Neural Circuit Understanding
Venkatakrishnan Ramaswamy: https://www.biorxiv.org/content/10.1101/639724v1
#Algorithme #Neuroscience #innovation #technology
Venkatakrishnan Ramaswamy: https://www.biorxiv.org/content/10.1101/639724v1
#Algorithme #Neuroscience #innovation #technology
bioRxiv
An Algorithmic Barrier to Neural Circuit Understanding
Neuroscience is witnessing extraordinary progress in experimental techniques, especially at the neural circuit level. These advances are largely aimed at enabling us to understand how neural circuit computations mechanistically cause behavior. Here, using…
VAE-SBD
PyTorch implementation of the Variational Autoencoder with Spatial Broadcast Decoder.
GitHub by Daniel Daza: https://github.com/dfdazac/vaesbd
#deeplearning #pytorch #technology #innovation
PyTorch implementation of the Variational Autoencoder with Spatial Broadcast Decoder.
GitHub by Daniel Daza: https://github.com/dfdazac/vaesbd
#deeplearning #pytorch #technology #innovation
GitHub
GitHub - dfdazac/vaesbd: Variational Autoencoder with Spatial Broadcast Decoder
Variational Autoencoder with Spatial Broadcast Decoder - GitHub - dfdazac/vaesbd: Variational Autoencoder with Spatial Broadcast Decoder
VAE-SBD
PyTorch implementation of the Variational Autoencoder with Spatial Broadcast Decoder.
GitHub by Daniel Daza: https://github.com/dfdazac/vaesbd
#deeplearning #pytorch #technology #innovation
PyTorch implementation of the Variational Autoencoder with Spatial Broadcast Decoder.
GitHub by Daniel Daza: https://github.com/dfdazac/vaesbd
#deeplearning #pytorch #technology #innovation
GitHub
GitHub - dfdazac/vaesbd: Variational Autoencoder with Spatial Broadcast Decoder
Variational Autoencoder with Spatial Broadcast Decoder - GitHub - dfdazac/vaesbd: Variational Autoencoder with Spatial Broadcast Decoder
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing
Augustus Odena and Ian Goodfellow: https://arxiv.org/abs/1807.10875
Code: https://github.com/brain-research/tensorfuzz
#deeplearning #neuralnetworks #technology #innovation
Augustus Odena and Ian Goodfellow: https://arxiv.org/abs/1807.10875
Code: https://github.com/brain-research/tensorfuzz
#deeplearning #neuralnetworks #technology #innovation
arXiv.org
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing
Machine learning models are notoriously difficult to interpret and debug. This is particularly true of neural networks. In this work, we introduce automated software testing techniques for neural...