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Deep Dives Daily Alerts Learning AIIn the News
Experts predict when A.I. will exceed human performance
Trucking will be computerized long before surgery, computer scientists say.
Is China outsmarting America in A.I.?
China is investing heavily in A.I., both through its government, through tech giants like Tencent, Baidu, Didi Chuxing and through an increasing network of startups and SMEs.
Also in the news...
- AlphaGo defeated world champion Ke Jie (you are already aware of that, right?), and is poised to retire. More
- Softbank takes $4B stake in Nvidia. More
- Google launches a new AI focused Venture Capital program. More
Learning
What self-driving cars see
Article on Lidar technology, one of the cornerstones of automated driving.
Stanford CS20: Tensorflow for Deep Learning Research
Slides and notes from Stanford's CS20 course on training and running CNNs, RNNs, seq2seq with Tensorflow.
The Strange Loop in Deep Learning
Yann Lecun describes this as one of the best ideas in Deep Learning in recent years.
Software tools & code
Medical Image Net
A petabyte-scale, cloud-based, multi-institutional, searchable, open repository of diagnostic imaging studies for developing intelligent image analysis systems.
Build a moderation system with Sightengine for Node.js
Using Deep Learning to filter and moderate images
OpenAI Baselines: DQN
OpenAI open-sourced their "Baselines", an internal effort to reproduce reinforcement learning algorithms with performance on par with published results.
CycleGAN
Implementation of a type of Generative Adversarial Network that does not need paired images in its training datasets.
Turn design mockups into source code
Copenhagen-based startup UIzard Technologies has built a neural network that, once fed with raw screenshots of graphical user interface, proceeds to automatically generate code.
Picasso CNN visualizer
A free open-source visualizer for CNNs
Hardware
Apple A.I. chip
Apple is reportedly working on a dedicated A.I. chip for its smartphones. This may be an Application Specific circuit, for energy-efficiency and speed.
TensorFlow optimizations on Intel architecture
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