In the News
Building A.I. that can build A.I.
Google and others, fighting for a small pool of researchers, are looking for automated ways to deal with a shortage of artificial intelligence experts.
How to Root Out Hidden Biases in AI
Algorithms are making life-changing decisions like denying parole or granting loans. Cynthia Dwork, a computer scientist at Harvard, is developing ways of making sure the machines are operating fairly.
Google's plan for China: AI
Active promotion of Tensorflow and more personnel to scour Chinese companies for potential AI investments.
Also in the news...
- Highlights from the NIPS conference
- Face Recognition company raises $460M. More
- Waymo is now testing its self-driving cars with no one at the wheel. More
The State of ML and Data Science 2017
Kaggle ran a large survey on the state of Machine Learning. A few key learnings:
- Python is the most commonly used tool
- The median annual salary is $55k ($110k in the US)
- Data scientists are on average 30 years old, with large discrepancies between countries
Deep Learning for NLP, advancements and trends in 2017
Great round up for people interested in NLP. There have been indeed a lot of progress in 2017, whether it's with embeddings, sentiment analysis, text summarization, fully unsupervised translation, new specialized frameworks and tools...
Using Artificial Intelligence to Augment Human Intelligence
"By creating user interfaces which let us work with the representations inside machine learning models, we can give people new tools for reasoning."
Software tools & code
A simple yet powerful Image Augmentation tool. Useful to apply both standard and more specific transforms and make augmentation extremely easy in image classification / segmentation tasks.
Library by Apple to perform image classification and object detection in a few lines of code on iOS or MacOS.
"Neural networks are not just another classifier, they represent the beginning of a fundamental shift in how we write software. They are Software 2.0"
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