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A tartalmat a 3DHEALS biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a 3DHEALS vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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Episode #93 | 3D Design & Geometric Intelligence with Elissa Ross

1:02:34
 
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Manage episode 505948455 series 2901571
A tartalmat a 3DHEALS biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a 3DHEALS vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

What happens when advanced mathematics meets manufacturing? The result is a new way of creating products that range from record-breaking running shoes to life-changing medical devices.

In this episode, we sit down with Elissa Ross, mathematician and CEO of Metafold 3D, to explore how her company is using mathematics to reshape design and manufacturing. Metafold’s platform is built on geometric intelligence which is her company's novel approach that transforms shapes into data that can be analyzed and improved. Instead of simply representing objects the way traditional CAD software does this method allows engineers to simulate and optimize designs with greater speed and accuracy.

At the core of this approach is implicit modeling with signed distance functions. While it may sound highly abstract, it has very practical applications. This technique allows manufacturers can run thousands of simulations in the time it would normally take to analyze a single design. The result is shorter development cycles and products that perform better in the real world.

Ross also reflects on her journey building Metafold, from its early focus on 3D printing to its current role serving major industries. She explains how their API-first platform gives customers the flexibility to solve specific challenges, such as analyzing tolerances, reusing similar parts, or predicting how designs will hold up under different conditions.

Whether you are a designer, an engineer, or simply curious about how mathematics is shaping the technologies around us, this episode offers a thoughtful look at the future of manufacturing intelligence.

Shownotes: Check back soon

Podcast Engineer: Faith Fernandes

Send us a text

Support the show

Subscribe to our premium version and support the show.

Follow us:
Twitter
Instagram
Linkedin
3DHEALS Website
Facebook
Facebook Group
Youtube channel

About Pitch3D

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Fejezetek

1. Introduction to Elissa Ross & Metafold 3D (00:00:00)

2. Metafold 3D & Geometric Intelligence (00:01:37)

3. Traditional CAD vs. Implicit Modeling (00:06:38)

4. Real-World Applications in Manufacturing (00:13:16)

5. Founder's Journey and Company Evolution (00:28:16)

6. The Challenges of AI in 3D Geometry (00:45:13)

7. Life Balance and Final Thoughts (00:53:56)

20 epizódok

Artwork
iconMegosztás
 
Manage episode 505948455 series 2901571
A tartalmat a 3DHEALS biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a 3DHEALS vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

What happens when advanced mathematics meets manufacturing? The result is a new way of creating products that range from record-breaking running shoes to life-changing medical devices.

In this episode, we sit down with Elissa Ross, mathematician and CEO of Metafold 3D, to explore how her company is using mathematics to reshape design and manufacturing. Metafold’s platform is built on geometric intelligence which is her company's novel approach that transforms shapes into data that can be analyzed and improved. Instead of simply representing objects the way traditional CAD software does this method allows engineers to simulate and optimize designs with greater speed and accuracy.

At the core of this approach is implicit modeling with signed distance functions. While it may sound highly abstract, it has very practical applications. This technique allows manufacturers can run thousands of simulations in the time it would normally take to analyze a single design. The result is shorter development cycles and products that perform better in the real world.

Ross also reflects on her journey building Metafold, from its early focus on 3D printing to its current role serving major industries. She explains how their API-first platform gives customers the flexibility to solve specific challenges, such as analyzing tolerances, reusing similar parts, or predicting how designs will hold up under different conditions.

Whether you are a designer, an engineer, or simply curious about how mathematics is shaping the technologies around us, this episode offers a thoughtful look at the future of manufacturing intelligence.

Shownotes: Check back soon

Podcast Engineer: Faith Fernandes

Send us a text

Support the show

Subscribe to our premium version and support the show.

Follow us:
Twitter
Instagram
Linkedin
3DHEALS Website
Facebook
Facebook Group
Youtube channel

About Pitch3D

  continue reading

Fejezetek

1. Introduction to Elissa Ross & Metafold 3D (00:00:00)

2. Metafold 3D & Geometric Intelligence (00:01:37)

3. Traditional CAD vs. Implicit Modeling (00:06:38)

4. Real-World Applications in Manufacturing (00:13:16)

5. Founder's Journey and Company Evolution (00:28:16)

6. The Challenges of AI in 3D Geometry (00:45:13)

7. Life Balance and Final Thoughts (00:53:56)

20 epizódok

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