Chemical synthesis with MCTS, neural nets and symbolic AI.
An AI system finds correct sequence of steps to synthesize complex organic molecules -- a task much more complex than the game of Go. 95% success in 13 seconds on ordinary hardware.
https://www.nature.com/articles/nature25978.epdf
https://arxiv.org/abs/1708.04202
An AI system finds correct sequence of steps to synthesize complex organic molecules -- a task much more complex than the game of Go. 95% success in 13 seconds on ordinary hardware.
https://www.nature.com/articles/nature25978.epdf
https://arxiv.org/abs/1708.04202
Nature
Planning chemical syntheses with deep neural networks and symbolic AI
Deep neural networks and Monte Carlo tree search can plan chemical syntheses by training models on a huge database of published reactions; their predicted synthetic routes cannot be distinguished from those a human chemist would design.
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Semantic Segmentation Models for Autonomous Vehicles
https://www.kdnuggets.com/2018/03/semantic-segmentation-models-autonomous-vehicles.html
#deeplearning #segmentation
https://www.kdnuggets.com/2018/03/semantic-segmentation-models-autonomous-vehicles.html
#deeplearning #segmentation
Microsoft’s AI course is now open and free
Microsoft Professional Program for Artificial Intelligence — previously being available only to employees is now available at edx.org for free. Program includes 10 courses from basic python programming to deep learning and reinforcement learning disciplines.
https://academy.microsoft.com/en-us/professional-program/tracks/artificial-intelligence/
#mooc #microsoft #course
Microsoft Professional Program for Artificial Intelligence — previously being available only to employees is now available at edx.org for free. Program includes 10 courses from basic python programming to deep learning and reinforcement learning disciplines.
https://academy.microsoft.com/en-us/professional-program/tracks/artificial-intelligence/
#mooc #microsoft #course
Docs
Training
Master core concepts at your speed and on your schedule. Whether you've got 15 minutes or an hour, you can develop practical skills through interactive modules and paths. You can also register to learn from an instructor. Learn and grow your way.
OpenAI launched Retro Contest — a contest where agents use their past experience to adapt to new environments. In this contest agents have to play previously unseen levels.
https://blog.openai.com/retro-contest/
#kaggle #rl #openai
https://blog.openai.com/retro-contest/
#kaggle #rl #openai
New paper on generating images from scene description using GANs
https://arxiv.org/abs/1804.01622
#arxiv #gan
https://arxiv.org/abs/1804.01622
#arxiv #gan
Top 20 papers according to citation counter from academic.microsoft.com
https://www.kdnuggets.com/2018/03/top-20-deep-learning-papers-2018.html
#chart #dl
https://www.kdnuggets.com/2018/03/top-20-deep-learning-papers-2018.html
#chart #dl
High-level overview of different Object detection architectures: Fast R-CNN, Faster RCNN, Mask R-CNN, R-FCN, FPN, YOLO, SSD, RetinaNet:
https://medium.com/@jonathan_hui/what-do-we-learn-from-region-based-object-detectors-faster-r-cnn-r-fcn-fpn-7e354377a7c9
#dl #list #comparison #cv
https://medium.com/@jonathan_hui/what-do-we-learn-from-region-based-object-detectors-faster-r-cnn-r-fcn-fpn-7e354377a7c9
#dl #list #comparison #cv
Medium
What do we learn from region based object detectors (Faster R-CNN, R-FCN, FPN)?
In this series, we will take a comprehensive journey on object detection. In Part 1 here, we cover the region based object detectors…
Facebook is announcing a slew of new ML-related software projects and code releases this morning at F8, including Glow (a neural network compiler), PyTorch Translate (a public version of their production NMT code) and the roadmap for PyTorch 1.0 code.
https://code.facebook.com/posts/172423326753505/
#pytorch #facebook #deeplearning
https://code.facebook.com/posts/172423326753505/
#pytorch #facebook #deeplearning
Facebook Code
Announcing PyTorch 1.0 for both research and production
We're announcing the next version of our open source AI framework, PyTorch 1.0, which integrates capabilities from Caffe2 and ONNX to provide a fast path from AI research to production.
CrowdHuman: A Benchmark for Detecting Human in a Crowd https://arxiv.org/abs/1805.00123
Andrew Ng announced that practical self-driving cars are ready. DriveAI will deploy a self-driving car service for public use in Texas starting in July.
Link: https://medium.com/@andrewng/self-driving-cars-are-here-aea1752b1ad0
#driving #rl #car #deeplearning #andrewng
Link: https://medium.com/@andrewng/self-driving-cars-are-here-aea1752b1ad0
#driving #rl #car #deeplearning #andrewng
Medium
Self-driving cars are here
Drive.ai will offer a self-driving car service for public use in Frisco, Texas starting in July, 2018. Self-driving cars are no longer a futuristic AI technology. They’re here, and will soon make…
Facebook’s Field Guide to Machine Learning video series
#guide #facebook
https://research.fb.com/the-facebook-field-guide-to-machine-learning-video-series/
#guide #facebook
https://research.fb.com/the-facebook-field-guide-to-machine-learning-video-series/
Facebook report about advance in image recognition.
https://code.facebook.com/posts/1700437286678763/advancing-state-of-the-art-image-recognition-with-deep-learning-on-hashtags/
#cv #facebook #deeplearning
https://code.facebook.com/posts/1700437286678763/advancing-state-of-the-art-image-recognition-with-deep-learning-on-hashtags/
#cv #facebook #deeplearning
Facebook Code
Advancing state-of-the-art image recognition with deep learning on hashtags
Facebook researchers used new techniques in weakly supervised training and leveraging large data sets to train its image recognition system, resulting in the best-ever accuracy score by a common benchmark.
Open Neural Network Exchange — new format, introduced by Facebook to allow AI engineers to more easily move models between frameworks without having to do resource-intensive custom engineering.
https://code.facebook.com/posts/1714175645317654/onnx-expansion-speeds-ai-development/
https://code.facebook.com/posts/1714175645317654/onnx-expansion-speeds-ai-development/
Facebook Code
ONNX expansion speeds AI development
Facebook helped develop the Open Neural Network Exchange (ONNX) format to allow AI engineers to more easily move models between frameworks without having to do resource-intensive custom engineering. Today, we're sharing that ONNX is adding support for additional…