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In this talk, the team from Facebook Reality Labs Research will outline the fundamental elements of machine learning and neuroscience required to build all-day wearable, non-invasive neural interfaces to power interaction for future computing platforms.
The talk will focus on the specific challenges of building machine learning models in a wearable device from biological signals, such as managing model stability across a range of contexts and across the global population. The team has a unique combination of computational neuroscientists and machine learning engineers that are necessary to both uncover the hidden engineering of our nervous system, and design the future of our relationship with computers.
Author Information
Ricardo Monti (Facebook Reality Labs)
Nathalie T.H Gayraud (Facebook Reality Labs)
Jeffrey Seely (Facebook)
Zhuo Wang (Facebook Reality Labs)
Tugce Tasci (Facebook Reality Labs)
Rebekkah Hogan (Facebook)
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