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724: Decoding Speech from Raw Brain Activity, with Dr. David Moses

724: Decoding Speech from Raw Brain Activity, with Dr. David Moses

FromSuper Data Science: ML & AI Podcast with Jon Krohn


724: Decoding Speech from Raw Brain Activity, with Dr. David Moses

FromSuper Data Science: ML & AI Podcast with Jon Krohn

ratings:
Length:
43 minutes
Released:
Oct 20, 2023
Format:
Podcast episode

Description

In this Friday episode, host Jon Krohn talks to UCSF’s David Moses about BRAVO (Brain-Computer Interface Restoration of Arm and Voice), a study led by Edward Chang and Karunesh Ganguly that helps patients who have lost the ability to speak to communicate once again via a speech neuroprosthesis. Postdoctoral engineer David Moses, who is a part of BRAVO, reveals the data and machine learning models that help BRAVO predict the words and facial expressions that a paralyzed patient is trying to form via their brain activity, crucially helping patients to communicate with medical practitioners and loved ones.

Additional materials: www.superdatascience.com/724

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
Released:
Oct 20, 2023
Format:
Podcast episode

Titles in the series (61)

The Super Data Science podcast with Jon Krohn brings you the latest and most important machine learning, artificial intelligence, and broader data-world topics from across both academia and industry. As the quantity of data on our planet doubles every couple of years and this trend is set to continue for decades to come, there's an unprecedented opportunity for you to make an enormous impact in your lifetime. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, and commercialization − everything you need to crush it with data science.