Category: LUCID

How Can Machine Learning Improve Educational Technologies?

by Blake Mason, John Vito Binzak and Fangyun (Olivia) Zhao  As computer-based technologies continue to establish a significant presence in modern education, it becomes increasingly important to understand how to improve the ways that these technologies present educational content and

Posted in LUCID, 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 Ashley 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

Apply to LUCID!

We are currently accepting applications for Fall 2018! Please read at our LUCID overview and diversity statement Details for how to apply to the LUCID program at UW–Madison: 1. Apply to UW-Madison at Graduate School 2. Apply to a Ph.D. program

Posted in LUCID

Watch Our LUCID Video

Our new LUCID video demonstrates our collaborative learning approach to tackling the real-world projects. This video highlights the LUCID program and focusses on four pedagogical approaches: interdisciplinary groups, practical problems, prof-and-peer mentoring, and science communication.

Posted in LUCID

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

Posted in LUCID, Machine Learning Tagged with: , , ,

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

Posted in LUCID, Machine Learning Tagged with: , ,

Podcasts showcase stories, science and secrets behind UW-Madison research

Imagine getting an intimate sneak peek at the research happening behind the scenes at one of the world’s largest research universities, as well as a glimpse at the human stories behind that research. Did we mention you can do it

Posted in LUCID, Science Narratives Project Tagged with: ,

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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