Biomechanics experts sought for machine learning challenge to simulate gait
Round One Entries Due: October 13, 2019
Seungmoon Song and Łukasz Kidziński, postdoctoral fellows at Stanford University, are organizing a scientific challenge to develop a controller that enables a 3D human model to walk. Based on the OpenSim platform, this challenge is one of the official competitions at Neural Information Processing Systems (NeurIPS) 2019. Details on how to participate, including information on free resources to get started, are available at the NeurIPS 2019: Learn to Move Challenge website. You can learn more about reinforcement learning and the challenge in our past webinar, Robust Control Strategies for Musculoskeletal Models Using Deep Reinforcement Learning.
- Due Date: August 1st, 2019
- Due Date: September 3rd, 2019
Enabling Technologies to Accelerate Development of Oral Biodevices
- Due Date: September 5th, 2019
Advancing Imaging, Device Production, and Clinical Capabilities in Digital Dentistry
- Due Date: September 5th, 2019
- Due Date: September 8th, 2019
- Due Date: September 13th, 2019
- Due Date: September 18th, 2019
NIH HEAL Initiative Funding Announcements and Opportunities
For other upcoming funding opportunities visit the Funding Opportunities Page on the IMAG Wiki.