Media and presentation highlights from FSAS
This page contains recent media, interviews, and conference appearances by FSAS affiliated faculty and researchers
This page contains recent media, interviews, and conference appearances by FSAS affiliated faculty and researchers
Researchers launched an in-house Data Science and Artificial Intelligence (DSAI) challenge to beat MIT’s machine-learning models for predicting clinical trial outcomes. The results are now available.
The Food Supply Chain Analytics and Sensing (FSAS) Initiative is creating predictive analytical tools and technologies to improve the design and management of safe and reliable food supply chains
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Integrating robots into a manufacturing system is often prohibitively expensive. A new approach could change that.
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Machine learning is a powerful form of artificial intelligence that is affecting every industry. Here’s what you need to know about its potential and limitations and how it’s being used.
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‘Those ad-hoc interactions are what people miss in today’s work-from-home environment.’
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Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.
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The initiative is open to individuals, businesses and groups with the goal of developing a diverse, global community of problem solvers.