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MIT Media Lab
Machine Learning Researcher
Staff Software Engineer
Senior Research Scientist
NASA Ames Research Center/ BAER Institute
Detecting the sentiment of social-media posts is already useful for tracking attitudes toward brands and products, and for identifying signals that might indicate trends in the financial markets. Luckily, Bjarke Felbo, a researcher at MIT developed an algorithm to analyze tweets to detect sarcasm and emotional subtext.Read More
Mozilla announced a mission to help developers create speech-to-text applications by making voice recognition and deep learning algorithms available to everyone. The company’s machine learning group is one step closer to completing that mission with the initial open source release of its speech recognition model and voice dataset.Read More
For more than a year, Twitter have enhanced our timeline to show the best Tweets for you first, they have worked to improve the underlying algorithms in order to surface content that is even more relevant to you. Here they explain how their ranking algorithm is powered by DNN's, leveraging the modeling capabilities and AI platform built by Cortex.Read More
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