Machine Learning in High Energy Physics Community White Paper
Albertsson et al.: https://arxiv.org/abs/1807.02876
#machinelearning #physics #technology
Albertsson et al.: https://arxiv.org/abs/1807.02876
#machinelearning #physics #technology
Machine Learning in High Energy Physics Community White Paper
Albertsson et al.: https://arxiv.org/abs/1807.02876
#machinelearning #physics #technology
Albertsson et al.: https://arxiv.org/abs/1807.02876
#machinelearning #physics #technology
Deep Compressed Sensing
Wu et al.: https://arxiv.org/pdf/1905.06723.pdf
#deeplearning #generativeadversarialnetworks #technology
Wu et al.: https://arxiv.org/pdf/1905.06723.pdf
#deeplearning #generativeadversarialnetworks #technology
Unsupervised Learning with Graph Neural Networks
By Thomas Kipf.
Slides : http://helper.ipam.ucla.edu/publications/glws4/glws4_15546.pdf
Recording: http://www.ipam.ucla.edu/programs/workshops/workshop-iv-deep-geometric-learning-of-big-data-and-applications/?tab=schedule
#deeplearning #neuralnetworks #unsupervisedlearning #technology
By Thomas Kipf.
Slides : http://helper.ipam.ucla.edu/publications/glws4/glws4_15546.pdf
Recording: http://www.ipam.ucla.edu/programs/workshops/workshop-iv-deep-geometric-learning-of-big-data-and-applications/?tab=schedule
#deeplearning #neuralnetworks #unsupervisedlearning #technology
IPAM
Workshop IV: Deep Geometric Learning of Big Data and Applications - IPAM
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
How Intelligence Is Transforming The Aviation Industry
https://medium.com/@morejitu/how-artificial-intelligence-is-transforming-the-aviation-industry-c49a1deeddba
#ArtificialIntelligence #AI #aviation #startup #technology
https://medium.com/@morejitu/how-artificial-intelligence-is-transforming-the-aviation-industry-c49a1deeddba
#ArtificialIntelligence #AI #aviation #startup #technology
Medium
How Artificial Intelligence Is Transforming The Aviation Industry
Growing urbanization has resulted in advent of several disruptive technologies including the artificial intelligence. The AI has become…
7 Tesla MRI of the ex vivo human brain at 100 micron resolution
Edlow et al.: https://www.biorxiv.org/content/biorxiv/early/2019/05/31/649822.full.pdf
#artificialintelligence #brain #human #technology
Edlow et al.: https://www.biorxiv.org/content/biorxiv/early/2019/05/31/649822.full.pdf
#artificialintelligence #brain #human #technology
Practical Full Resolution Learned Lossless Image Compression
Mentzer et al.: https://arxiv.org/abs/1811.12817
PyTorch Implementation: https://github.com/fab-jul/L3C-PyTorch
#deeplearning #machinelearning #pytorch #technology
Mentzer et al.: https://arxiv.org/abs/1811.12817
PyTorch Implementation: https://github.com/fab-jul/L3C-PyTorch
#deeplearning #machinelearning #pytorch #technology
Unsupervised Learning with Graph Neural Networks
By Thomas Kipf.
Slides : http://helper.ipam.ucla.edu/publications/glws4/glws4_15546.pdf
Recording: http://www.ipam.ucla.edu/programs/workshops/workshop-iv-deep-geometric-learning-of-big-data-and-applications/?tab=schedule
#deeplearning #neuralnetworks #unsupervisedlearning #technology
By Thomas Kipf.
Slides : http://helper.ipam.ucla.edu/publications/glws4/glws4_15546.pdf
Recording: http://www.ipam.ucla.edu/programs/workshops/workshop-iv-deep-geometric-learning-of-big-data-and-applications/?tab=schedule
#deeplearning #neuralnetworks #unsupervisedlearning #technology
Robustness beyond Security: Computer Vision Applications
Engstrom et al.: http://gradientscience.org/robust_apps/
#artificialintelligence #computervision #security #technology
Engstrom et al.: http://gradientscience.org/robust_apps/
#artificialintelligence #computervision #security #technology
gradient science
Robustness Beyond Security: Computer Vision Applications
An off-the-shelf robust classifier can be used to perform a range of computer vision tasks beyond classification.
Invertible Residual Networks
Official Pytorch implementation of i-ResNets.
By Jorn Jacobsen: https://github.com/jhjacobsen/invertible-resnet
#pytorch #technology #machinelearning
Official Pytorch implementation of i-ResNets.
By Jorn Jacobsen: https://github.com/jhjacobsen/invertible-resnet
#pytorch #technology #machinelearning
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...
Speech Model Pre-training for End-to-End Spoken Language Understanding
Lugosch et al.: https://arxiv.org/abs/1904.03670
#spokenlanguageunderstanding #machinelearning #technology
Lugosch et al.: https://arxiv.org/abs/1904.03670
#spokenlanguageunderstanding #machinelearning #technology
Speech Model Pre-training for End-to-End Spoken Language Understanding
Lugosch et al.: https://arxiv.org/abs/1904.03670
#spokenlanguageunderstanding #machinelearning #technology
Lugosch et al.: https://arxiv.org/abs/1904.03670
#spokenlanguageunderstanding #machinelearning #technology
This is just the best speech ever. The presentation, the humour and the honesty is amazing. Not only that. The message in itself is something we need to work harder on. Now maybe more then ever before considering AI and other technology’s coming into commercial use. What should a young person starting school today graduating in 15-20 years actually focus on? What will be important skills, knowledge and behaviour of the future?
https://www.ted.com/talks/ken_robinson_says_schools_kill_creativity
#ai #knowledge #school #thefuture #technology
https://www.ted.com/talks/ken_robinson_says_schools_kill_creativity
#ai #knowledge #school #thefuture #technology
Ted
Do schools kill creativity?
Sir Ken Robinson makes an entertaining and profoundly moving case for creating an education system that nurtures (rather than undermines) creativity.
AI & Architecture
An Experimental Perspective
By Stanislas Chaillou, Harvard Graduate School of Design: https://towardsdatascience.com/ai-architecture-f9d78c6958e0
#artificialintelligence #architecture #design #deeplearning #technology
An Experimental Perspective
By Stanislas Chaillou, Harvard Graduate School of Design: https://towardsdatascience.com/ai-architecture-f9d78c6958e0
#artificialintelligence #architecture #design #deeplearning #technology
Medium
AI & Architecture
An Experimental Perspective
Should data scientists learn JavaScript?
https://www.google.com/amp/s/www.freecodecamp.org/news/should-data-scientists-learn-javascript-e611d45804b8/amp/
https://www.google.com/amp/s/www.freecodecamp.org/news/should-data-scientists-learn-javascript-e611d45804b8/amp/
freeCodeCamp.org
Should data scientists learn JavaScript?
The pros and cons of using the web’s #1 language for data scienceIf you have been following the tech landscape in recent years, you have probably noticed at least two things. For one, you may have noticed that JavaScript is a very popular language these days.…