Category: Machine Learning

Interactive Science Communication

¬†by Scott Sievert and Purav “Jay” Patel Scientific research is still communicated with static text and images despite innovations in learning theories and technology. We are envisioning a future in which interactive simulations and visualizations are used to enhance how

Posted in LUCID, Machine Learning, Resources, Uncategorized

Singular Value Decomposition (SVD)

By Lowell Thompson and Ashely Hou This is a collaborative tutorial aimed at simplifying a common machine learning method known as singular value decomposition. Learn how these techniques impact computational neuroscience research as well! Singular value decomposition is a method

Posted in LUCID, Machine Learning, Resources

LUCIDtalks: Machine Learning with Ayon Sen

As part of our LUCID program, the graduate students meet weekly and discuss topics that are interesting to both the computation and behavioral graduate students. In this video Ayon provides an overview of Machine Learning in 20 minutes. Ayon explains linear

Posted in LUCID, LUCID Library, Machine Learning

Finding Meaning in Big Data

Discovery Fellows Rebecca Willett and Rob Nowak are creating algorithms to make sense of big data and help machines learn. Full story at

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How New Yorker Cartoons Could Teach Computers To Be Funny

“The computer models Nowak and his team are developing are called adaptive crowdsourcing algorithms. They attempt to weed out the weakest captions as quickly as possible to get more people to vote on the potential winners.” Full Story on C|net

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The Science of Funny: Active Machine Learning & Cartoons

The New Yorker is using a machine learning system developed by WID Optimization researchers to sort through captions for their weekly cartoon caption contest. See full story on

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