Altered Fingerprints: Detection and Localization
Achieves a True Detection Rate (TDR) of 99.24% at a False Detection Rate (FDR) of 2%, outperforming published results
https://arxiv.org/abs/1805.0091
Achieves a True Detection Rate (TDR) of 99.24% at a False Detection Rate (FDR) of 2%, outperforming published results
https://arxiv.org/abs/1805.0091
AI could get 100 times more energy-efficient with IBM’s new artificial synapses
Copying the features of a neural network in silicon might make machine learning more usable on small devices like smartphones.
https://goo.gl/hFfg69
paper : https://goo.gl/xyXbWo
https://t.iss.one/ArtificialIntelligenceArticles
Copying the features of a neural network in silicon might make machine learning more usable on small devices like smartphones.
https://goo.gl/hFfg69
paper : https://goo.gl/xyXbWo
https://t.iss.one/ArtificialIntelligenceArticles
MIT Technology Review
AI could get 100 times more energy-efficient with IBM’s new artificial synapses
Copying the features of a neural network in silicon might make machine learning more usable on small devices like smartphones.
مقاله جدیدی از پروفسور Li Fei-Fei
new paper : Li Fei-Fei
Learning to Decompose and Disentangle Representations for Video Prediction. https://arxiv.org/abs/1806.04166 @ArtificialIntelligenceArticles
new paper : Li Fei-Fei
Learning to Decompose and Disentangle Representations for Video Prediction. https://arxiv.org/abs/1806.04166 @ArtificialIntelligenceArticles
vulnerabilities in #deeplearning could lead to new kinds of healthcare fraud and other issues https://goo.gl/JBktiY @ArtificialIntelligenceArticles
Generating NES music using deep learning
Code : https://github.com/chrisdonahue/nesmdb
Paper: https://arxiv.org/abs/1806.04278 @ArtificialIntelligenceArticles
Code : https://github.com/chrisdonahue/nesmdb
Paper: https://arxiv.org/abs/1806.04278 @ArtificialIntelligenceArticles
A nice review article about relational reasoning, relational inductive biases in typical deep learning building blocks, and graph networks. https://arxiv.org/abs/1806.01261 @ArtificialIntelligenceA
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution": Judea Pearl presents seven tasks which he claims are beyond reach of current machine learning systems but have been accomplished using the tools of causal modeling.
https://arxiv.org/abs/1801.04016
https://t.iss.one/ArtificialIntelligenceArticles
https://arxiv.org/abs/1801.04016
https://t.iss.one/ArtificialIntelligenceArticles
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1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
6. #ResearchPapers
7. Related Courses and Ebooks
مقاله ی از دکتر علی اسلامی محقق Google DeepMind
https://deepmind.com/blog/neural-scene-representation-and-rendering/
paper :https://science.sciencemag.org/content/360/6394/1204
https://deepmind.com/blog/neural-scene-representation-and-rendering/
paper :https://science.sciencemag.org/content/360/6394/1204
Instant 3D Photography
Hedman et al.: https://visual.cs.ucl.ac.uk/pubs/instant3d/ @ArtificialIntelligenceArticles
Hedman et al.: https://visual.cs.ucl.ac.uk/pubs/instant3d/ @ArtificialIntelligenceArticles
🚀 100 Times Faster Natural Language Processing in Python
https://goo.gl/vX9zea
https://t.iss.one/ArtificialIntelligenceArticles
https://goo.gl/vX9zea
https://t.iss.one/ArtificialIntelligenceArticles
Medium
🚀 100 Times Faster Natural Language Processing in Python
How to take advantage of spaCy & a bit of Cython for blazing fast NLP
IBM researchers use analog memory to train deep NeuralNetworks faster than with GPUs, using hundreds of times less energy: https://goo.gl/jB4BWW paper : https://goo.gl/u1EE6C
NCRF++: An Open-source Neural Sequence Labeling Toolkit
GitHub : https://github.com/jiesutd/NCRFpp
paper : https://arxiv.org/abs/1806.05626 @ArtificialIntelligenceArticles
GitHub : https://github.com/jiesutd/NCRFpp
paper : https://arxiv.org/abs/1806.05626 @ArtificialIntelligenceArticles
End-to-End Parkinson Disease Diagnosis using Brain MR-Images by 3D-CNN. https://arxiv.org/abs/1806.05233 @ArtificialIntelligenceArticles
Deep Video Portraits
Photo-realistic reanimation of portrait videos. Transfer full 3D head pose, facial expression, eye gaze and blinking.
ArXiv
https://arxiv.org/abs/1805.11714
Full Demo
https://www.youtube.com/watch?v=qc5P2bvfl44
https://t.iss.one/ArtificialIntelligenceArticles
Photo-realistic reanimation of portrait videos. Transfer full 3D head pose, facial expression, eye gaze and blinking.
ArXiv
https://arxiv.org/abs/1805.11714
Full Demo
https://www.youtube.com/watch?v=qc5P2bvfl44
https://t.iss.one/ArtificialIntelligenceArticles
YouTube
Deep Video Portraits - SIGGRAPH 2018
H. Kim, P. Garrido , A. Tewari, W. Xu, J. Thies, M. Nießner, P. Pérez, C. Richardt, Michael Zollhöfer, C. Theobalt, Deep Video Portraits, ACM Transactions on Graphics (SIGGRAPH 2018)
We present a novel approach that enables photo-realistic re-animation…
We present a novel approach that enables photo-realistic re-animation…
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging. https://arxiv.org/abs/1806.05452 @ArtificialIntelligenceArticles
Face detection and face recognition in the browser with tensorflow.js
https://github.com/justadudewhohacks/face-api.js/tree/face-landmarks
https://t.iss.one/ArtificialIntelligenceArticles
https://github.com/justadudewhohacks/face-api.js/tree/face-landmarks
https://t.iss.one/ArtificialIntelligenceArticles
Nvidia researchers use deep learning to create super-slow motion videos
The researchers used Nvidia Tesla V100 GPUs and cuDNN-accelerated PyTorch deep learning framework to train their system on more than 11,000 videos shot at 240 frames-per-se
Transforming Standard Video Into Slow Motion with Machine Learning
https://news.developer.nvidia.com/transforming-standard-video-into-slow-motion-with-ai/
paper : https://arxiv.org/abs/1712.00080
https://t.iss.one/ArtificialIntelligenceArticles
The researchers used Nvidia Tesla V100 GPUs and cuDNN-accelerated PyTorch deep learning framework to train their system on more than 11,000 videos shot at 240 frames-per-se
Transforming Standard Video Into Slow Motion with Machine Learning
https://news.developer.nvidia.com/transforming-standard-video-into-slow-motion-with-ai/
paper : https://arxiv.org/abs/1712.00080
https://t.iss.one/ArtificialIntelligenceArticles
NVIDIA Developer News Center
Transforming Standard Video Into Slow Motion with AI
Researchers from NVIDIA developed a deep learning-based system that can produce high-quality slow-motion videos from a 30-frame-per-second video, outperforming various state-of-the-art methods that…
Here is the June 19 issue of Computer Vision News
مصاحبهی روزنامهی CVPR2018 با خانم نسرین مصطفیزاده https://goo.gl/46kGnH @ArtificialIntelligenceArticles
مصاحبهی روزنامهی CVPR2018 با خانم نسرین مصطفیزاده https://goo.gl/46kGnH @ArtificialIntelligenceArticles
CVPR 2018 best paper
بهترین مقاله در کنفرانس CVPR 2018
https://taskonomy.stanford.edu/ or
https://arxiv.org/abs/1804.08328 @ArtificialIntelligenceArticles
بهترین مقاله در کنفرانس CVPR 2018
https://taskonomy.stanford.edu/ or
https://arxiv.org/abs/1804.08328 @ArtificialIntelligenceArticles
Best student paper award cvpr 2018 https://arxiv.org/abs/1801.01615 @ArtificialIntelligenceArticles