ArtificialIntelligenceArticles – Telegram
ArtificialIntelligenceArticles
2.95K subscribers
1.64K photos
9 videos
5 files
3.86K links
for who have a passion for -
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience

6. #ResearchPapers

7. Related Courses and Ebooks
Download Telegram
AI can now generate memes

Abel L Peirson V & E Meltem Tolunay:
Dank Learning. Generating Memes Using Deep Neural Networks

https://arxiv.org/abs/1806.04510 @ArtificialIntelligenceArticles
Self-supervisory Signals for Object Discovery and Detection. http://arxiv.org/abs/1806.03370 @ArtificialIntelligenceArticles
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
مقاله جدیدی از پروفسور Li Fei-Fei
new paper : Li Fei-Fei
Learning to Decompose and Disentangle Representations for Video Prediction. http://arxiv.org/abs/1806.04166 @ArtificialIntelligenceArticles
vulnerabilities in #deeplearning could lead to new kinds of healthcare fraud and other issues http://goo.gl/JBktiY @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://news.1rj.ru/str/ArtificialIntelligenceArticles
مقاله ی از دکتر علی اسلامی محقق Google DeepMind
https://deepmind.com/blog/neural-scene-representation-and-rendering/
paper :http://science.sciencemag.org/content/360/6394/1204
IBM researchers use analog memory to train deep NeuralNetworks faster than with GPUs, using hundreds of times less energy: http://goo.gl/jB4BWW paper : http://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
End-to-End Parkinson Disease Diagnosis using Brain MR-Images by 3D-CNN. http://arxiv.org/abs/1806.05233 @ArtificialIntelligenceArticles
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging. http://arxiv.org/abs/1806.05452 @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://news.1rj.ru/str/ArtificialIntelligenceArticles
Here is the June 19 issue of Computer Vision News

مصاحبه‌ی روزنامه‌ی CVPR2018 با خانم نسرین مصطفی‌زاده http://goo.gl/46kGnH @ArtificialIntelligenceArticles