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MyoChallenge Podcast
Robotics Centre
4 episodes
5 days ago
A global competition focused on getting a better understanding of human movement by using neural networks.
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Education
Science
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A global competition focused on getting a better understanding of human movement by using neural networks.
Show more...
Education
Science
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1. The who, what and why
MyoChallenge Podcast
33 minutes
1 year ago
1. The who, what and why

The three founders Massimo Sartori, Vittorio Caggiano and Vikash Kumar explain how they came up with the MyoChallenge: a global competition focused on getting a better understanding of human movement by using neural networks. 

 

In this podcast hosts Anic van Damme and Steven van Roon explore the founders’ vision of building digital brains. This competition is showcasing the fusion of AI, digital twins and robotics to push the boundaries of neuro-mechanics and healthcare technology. 

The experts explain that by putting research in a challenge is we can accelerate healthcare innovation. Professor Massimo Sartori emphasizes the platform’s potential in rehabilitation and improving lives. 

 

You hear about out the structure of the MyoChallenge and why this is a magnet for innovation as each year more people participate. The policies that come out as winners of the MyoChallenge are added to the MyoSuite: an open-source platform combining AI with digital twins for simulating and optimizing interventions. 

 

Speakers

Massimo Sartori, professor Neuromechanical Engineering at the University of Twente.

Vittorio Caggiano, former AI lead at Meta AI.

Vikash Kumar, adjunct professor Robotics Institute at Carnegie Mellon University.

 

The University of Twente’s Robotics Centre conducts multidisciplinary research, offers world-class education programs and works with global partners on innovative projects to develop groundbreaking technology that addresses the most challenging questions of today and tomorrow.

 

MyoChallenge Podcast
A global competition focused on getting a better understanding of human movement by using neural networks.