Podcast: AlphaFold Solves Protein Folding, NASA Protects Firefighters, Autonomous Shuttles Debut In Denmark

In this episode, we talk about how DeepMind’s AlphaFold algorithm solved protein folding, NASA JPL’s partnership with the Department of Homeland Security to better protect firefighters, and a trial for autonomous shuttles in Denmark University of Technology that can change the transportation infrastructure of the whole country if successful. As always, you can find these and other interesting & impactful engineering articles on Wevolver.com.  

EPISODE NOTES

(0:45) - AlphaFold Solves Protein Folding

Researchers have struggled with the problem of protein folding for nearly 50 years but DeepMind - an Alphabet Inc. subsidiary - demonstrated the ability to detect protein folds using their AlphaFold AI algorithm at the biennial CASP competition in 2020. 

(6:30) - NASA JPL Tracks Firefighters For Safety

NASA Jet Propulsion Laboratory (JPL) has partnered with the Department of Homeland Security to develop a system capable of accurately monitoring the location of firefighters inside a building.  

(10:40)  - Autonomous Shuttles Debut In DTU

Nobina is the largest transport group in the nordic region and they recently got approval to begin their autonomous shuttle trial at Technical University of Denmark (DTU). This trial will provide some much needed information on viability, areas to improve, and some data on how the future of urban planning will be orchestrated to consider autonomous vehicles.

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About the podcast:

Every day, some of the most innovative universities, companies, and individual technology developers share their knowledge on Wevolver. To ensure we can also provide this knowledge for the growing group of podcast listeners, we started a collaboration with two young engineers, Daniel Scott Mitchell & Farbod Moghaddam who discuss the most interesting content in this podcast series. 

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