ArtificialIntelligenceArticles
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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
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Deep Learning Engineer - CNN, GPU, Python, C++, Save Lives! - CyberCoders - Los Angeles, CA - 07-0... http://bit.ly/2t1FvW2 #ai #ml #dl
Career of the Future: Robot Psychologist
Engineers are using cognitive psychology to figure out how AIs think and make them more accountable http://bit.ly/2tWSxZH #ai #ml #dl
Measuring and predicting neighborhood changes with #machinelearning http://mitsha.re/IijG30drnr9
"Spatial and Angular Resolution Enhancement of Light Fields Using Convolutional Neural Networks," Gul/Gunturk: https://arxiv.org/abs/1707.00815
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

https://github.com/owainlewis/awesome-artificial-intelligence#ai #bigdata
"Emergence of Locomotion Behaviours in Rich Environments" by DeepMind: run, jumpو.... https://arxiv.org/abs/1707.02286
"A Nested Attention Neural Hybrid Model for Grammatical Error Correction" by MS: correct both characters and words https://arxiv.org/abs/1707.02026
Excited to share our new paper from Google Brain Robotics! End-to-end Learning of Semantic Grasping https://arxiv.org/abs/1707.01932
Deep Logo: "A deep learning architecture for brand recognition". Paper: https://github.com/fraferra/deepLogo_demo/blob/master/static/assets/img/deeplogo_paper.pdf
‍ (http://axnegar.fahares.com/axnegar/DTnMAIAikXqlbM/5084691.jpg)

#معرفی_شرکت_هوش_مصنوعی

🔵deep genomics


🌒ژنومیک همراه با هوش مصنوعی


Founded in 2015, Deep Genomics brings together world-leading expertise in machine learning and genome biology. We’re inventing a new generation of computational technologies that predict what will happen within a cell when DNA is altered by genetic variation, whether natural or therapeutic.

Our clients and partners use our technology to discover and design diagnostics and therapies in computers, before they even reach the lab. Deep Genomics addresses the following needs:

Target bio-marker discovery
Interpretation of genetic variation
Genome-based therapeutic development
Molecular diagnostics and carrier screening
Risk assessment for complex disorders
Because our system models fundamental aspects of molecular biology, it can be used for any variant and any disease.




https://www.deepgenomics.com/
"DeepStory: Video Story QA by Deep Embedded Memory Networks": https://arxiv.org/abs/1707.00836
"Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition": https://arxiv.org/abs/1707.00823
"Emergence of Locomotion Behaviours in Rich Environments," Heess et al., DeepMind: https://arxiv.org/abs/1707.02286 https://deepmind.com/blog/producing-flexible-behaviours-simulated-environments/