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USRP 2022 - Silicon Brain: The Future of Artificial Intelligence

Silicon Brain: The Future of Artificial Intelligence

2022 Stanford Bio-X USRP Talks - Wednesday, August 3, 2022

Events

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  • USRP 2022 - Silicon Brain: The Future of Artificial Intelligence
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Courses and Workshops

Photo of a smiling Black male faculty member wearing glasses, Dr. Kwabena Boahen, Professor of Bioengineering and Electrical Engineering at Stanford University.

Kwabena Boahen - Professor of Bioengineering and of Electrical Engineering

Bio-X Affiliated Faculty
Stanford Profile
Dr. Boahen's Lab Homepage
The Boahen lab is bridging the experiment–computation gap by building a computer that works like the brain, feeding back and contributing to a fundamental, biological understanding of how the brain works.

Related videos

USRP 2012 - Dissecting the genetic risk for coronary heart disease

USRP 2014 - Epidemiology/outcome research in viral hepatitis and liver cancer: what we do and how students can participate

USRP 2018 - Circulatory factors as regulators of brain aging and function

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Stanford Bio-X Seed Grants

Collage of headshot photos of Kwabena Boahen, Thomas Clandinin, and Michael Lin.

Interdisciplinary Initiatives Program Seed Grant: Decoding dendritic computation for natural and artificial intelligence

Interdisciplinary Initiatives Program Round 12 - 2024

Other Stanford Bio-X Supported Research

The Emergence of Attention From the Neural Circuitry of Sensorimotor Interactions: Combined Theoretical, Modeling and Experimental Approaches

Funded Grant - 2012

Research News

Photo of Dr. Kwabena Boahen in the lab.

As Moore’s law nears its physical limits, a new generation of brain-like computers comes of age

March 13, 2017 - Stanford News
Normal computer chips aren’t up to the challenges of next-generation devices. Bio-X affiliate Kwabena Boahen has...

Photo of Dr. Tatiana Engel.

Portions of the brain fall asleep and wake back up all the time

December 1, 2016 - Stanford News
Bio-X affiliates Tirin Moore and Kwabena Boahen, initially supported by the Bio-X NeuroVentures program, find that...

Photo of Dr. Tatiana Engel.

Stanford neuroscientists find that noisy neurons are critical for learning

March 18, 2015 - Stanford Report
A computer model of brain function, developed under Bio-X affiliates Bill Newsome, Kwabena Boahen, and Tirin Moore...

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Stanford Bio-X

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