An Exciting Vision of American Manufacturing with Robotics and AI
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Manage episode 412855356 series 3529210
Το περιεχόμενο παρέχεται από το Audrow Nash. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον Audrow Nash ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.
How do we bring manufacturing back to the United States? What role do robotics and AI play in this vision?
You'll like this interview if you're interested in the future of manufacturing in the United States and how robotics and AI are shaping it.
With Edward Mehr from Machina Labs.
EPISODE LINKS
- Full transcript: https://audrow-nash-podcast.github.io/transcripts/7-an-exciting-vision-of-american-manufacturing-with-robotics-and-ai.html
- Machina Lab's Website: https://machinalabs.ai/
- Machina Lab's LinkedIn: https://www.linkedin.com/company/machina-labs/
- Edward Mehr's LinkedIn: https://www.linkedin.com/in/edward-mehr/
PODCAST LINKS
- Watch and discuss on 𝕏: https://www.x.com/audrow
- Watch or listen on Spotify: https://open.spotify.com/show/74jWpWiLwsasY2QHtDcl8I
- Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/audrow-nash-podcast/id1716486786
- Watch on YouTube: https://www.youtube.com/@audrow
- Main podcast site: https://podcasters.spotify.com/pod/show/audrow1
- RSS Feed: https://anchor.fm/s/e2666f60/podcast/rss
- Full transcripts: https://audrow-nash-podcast.github.io/transcripts
- Podcast Github: https://github.com/audrow-nash-podcast
OUTLINE
(0:00) - Start
(0:29) - Episode intro
(1:51) - Introducing Edward and Machina Labs
(7:33) - AI in manufacturing
(15:19) - Using data for better models than physics-based models
(18:51) - Capturing data + modeling
(34:45) - About Machina Labs
(39:15) - Machina Lab's funding
(45:11) - Being in LA
(47:16) - Why make a company that is 10x better than alternatives
(58:43) - What if you weren't venture funded?
(1:02:53) - Or growing quickly
(1:10:26) - Humanoids: challenges + Elon Musk
(1:20:54) - AI trends: transformers + hallucinations
(1:35:32) - Thoughts on manufacturing
(1:42:15) - Advice to get involved in manufacturing
…
continue reading
You'll like this interview if you're interested in the future of manufacturing in the United States and how robotics and AI are shaping it.
With Edward Mehr from Machina Labs.
EPISODE LINKS
- Full transcript: https://audrow-nash-podcast.github.io/transcripts/7-an-exciting-vision-of-american-manufacturing-with-robotics-and-ai.html
- Machina Lab's Website: https://machinalabs.ai/
- Machina Lab's LinkedIn: https://www.linkedin.com/company/machina-labs/
- Edward Mehr's LinkedIn: https://www.linkedin.com/in/edward-mehr/
PODCAST LINKS
- Watch and discuss on 𝕏: https://www.x.com/audrow
- Watch or listen on Spotify: https://open.spotify.com/show/74jWpWiLwsasY2QHtDcl8I
- Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/audrow-nash-podcast/id1716486786
- Watch on YouTube: https://www.youtube.com/@audrow
- Main podcast site: https://podcasters.spotify.com/pod/show/audrow1
- RSS Feed: https://anchor.fm/s/e2666f60/podcast/rss
- Full transcripts: https://audrow-nash-podcast.github.io/transcripts
- Podcast Github: https://github.com/audrow-nash-podcast
OUTLINE
(0:00) - Start
(0:29) - Episode intro
(1:51) - Introducing Edward and Machina Labs
(7:33) - AI in manufacturing
(15:19) - Using data for better models than physics-based models
(18:51) - Capturing data + modeling
(34:45) - About Machina Labs
(39:15) - Machina Lab's funding
(45:11) - Being in LA
(47:16) - Why make a company that is 10x better than alternatives
(58:43) - What if you weren't venture funded?
(1:02:53) - Or growing quickly
(1:10:26) - Humanoids: challenges + Elon Musk
(1:20:54) - AI trends: transformers + hallucinations
(1:35:32) - Thoughts on manufacturing
(1:42:15) - Advice to get involved in manufacturing
18 επεισόδια