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100: Nanotechnology and the Brain: Fundamentals of Neuromorphic Computing (ft. Dr. Jean Anne Incorvia)

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Manage episode 359070659 series 3382890
Content provided by Punith Upadhya and David Yeh, Punith Upadhya, and David Yeh. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Punith Upadhya and David Yeh, Punith Upadhya, and David Yeh or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Biological brains can accomplish more than modern computing systems while using much less power. However, computers are much better at dealing with computation, while brains are (unsurprisingly) much better at interacting with ever-changing environments. What if we were able to design a computing system with interconnecting neurons and synapses to get the best of both worlds?

In today’s episode, we welcome Dr. Jean Anne Incorvia. She is a current Assistant Professor at the University of Texas at Austin, and a leading expert on the research of neuromorphic computing systems. With her, we discuss:

🔹️How neuromorphic computing works and what distinguishes it over traditional computing.

🔹️What materials science can do to relate brain processes to computing systems.

🔹The role of of 2D materials, spintronics, synapses, neurons, and more in neuromorphic computing.

🔹Advice to a student who is interested in the materials science behind neuromorphic computing.

🔹And much more!

Learn more about our MSE Career Development Online Course, which includes more industry-specific information and advice.

https://www.mseacademy.com/courses/students-tier-2

Join our Discord community! You can meet other passionate materials scientists and engineers from around the world, discuss the latest breakthroughs in MSE, share materials-related memes, and get career advice from experts in the field.

https://discord.gg/49dCV3W4eN

Check out our MSE-themed merchandise if you want to support us or simply show off your love of materials science!

https://www.itsamaterialworldpodcast.com/shop

For shorter segments and full video podcasts, subscribe to our channel on YouTube. For bloopers, audiograms, and interesting materials science articles, follow us on Instagram, LinkedIn, and Twitter. Feel free to message us on our social media platforms if you have any feedback or recommendations for future episodes, or email us directly at itsamaterialworldpodcast@gmail.com. Finally, reach out to David Yeh and Punith Upadhya on LinkedIn if you'd like to chat about the latest breakthroughs in MSE!

https://www.youtube.com/channel/UCpUXt6ui8iC5npSizlfIJ2A

https://www.instagram.com/itsamaterialworldpodcast/

http://linkedin.com/company/it-s-a-material-world-podcast/

https://twitter.com/ItsAMatWorldPod

Disclaimer: Any opinions expressed by either guests or hosts in this show are their own, and do not represent the opinions of the companies or organizations for which they are affiliated.

#materialsscience #nanotechnology #neuromorphiccomputing #technology

  continue reading

100 episoade

Artwork
iconDistribuie
 
Manage episode 359070659 series 3382890
Content provided by Punith Upadhya and David Yeh, Punith Upadhya, and David Yeh. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Punith Upadhya and David Yeh, Punith Upadhya, and David Yeh or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Biological brains can accomplish more than modern computing systems while using much less power. However, computers are much better at dealing with computation, while brains are (unsurprisingly) much better at interacting with ever-changing environments. What if we were able to design a computing system with interconnecting neurons and synapses to get the best of both worlds?

In today’s episode, we welcome Dr. Jean Anne Incorvia. She is a current Assistant Professor at the University of Texas at Austin, and a leading expert on the research of neuromorphic computing systems. With her, we discuss:

🔹️How neuromorphic computing works and what distinguishes it over traditional computing.

🔹️What materials science can do to relate brain processes to computing systems.

🔹The role of of 2D materials, spintronics, synapses, neurons, and more in neuromorphic computing.

🔹Advice to a student who is interested in the materials science behind neuromorphic computing.

🔹And much more!

Learn more about our MSE Career Development Online Course, which includes more industry-specific information and advice.

https://www.mseacademy.com/courses/students-tier-2

Join our Discord community! You can meet other passionate materials scientists and engineers from around the world, discuss the latest breakthroughs in MSE, share materials-related memes, and get career advice from experts in the field.

https://discord.gg/49dCV3W4eN

Check out our MSE-themed merchandise if you want to support us or simply show off your love of materials science!

https://www.itsamaterialworldpodcast.com/shop

For shorter segments and full video podcasts, subscribe to our channel on YouTube. For bloopers, audiograms, and interesting materials science articles, follow us on Instagram, LinkedIn, and Twitter. Feel free to message us on our social media platforms if you have any feedback or recommendations for future episodes, or email us directly at itsamaterialworldpodcast@gmail.com. Finally, reach out to David Yeh and Punith Upadhya on LinkedIn if you'd like to chat about the latest breakthroughs in MSE!

https://www.youtube.com/channel/UCpUXt6ui8iC5npSizlfIJ2A

https://www.instagram.com/itsamaterialworldpodcast/

http://linkedin.com/company/it-s-a-material-world-podcast/

https://twitter.com/ItsAMatWorldPod

Disclaimer: Any opinions expressed by either guests or hosts in this show are their own, and do not represent the opinions of the companies or organizations for which they are affiliated.

#materialsscience #nanotechnology #neuromorphiccomputing #technology

  continue reading

100 episoade

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