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S5E48 Kordel France | Olfactory AI
Manage episode 452600413 series 2887096
Today, we are thrilled to host an episode with an exceptional guest pushing the boundaries of artificial intelligence. Kordel France discussed the challenges and potential of digitizing scents. He highlighted the need for a standard data format for olfactory AI and the complexities of detecting and analyzing air molecules. Kordel emphasized the importance of olfactory AI in various industries, including automotive for HVAC systems and quality control, and aerospace for detecting chemical leaks. He predicted that reliable olfactory AI for consumer products is 10 years away, while navigation and aerospace applications could be achieved sooner. France also stressed the need for better integration of AI with hardware and the importance of team collaboration in engineering.
Main Topics Covered:
- Kordel's background and early interest in engineering
- The concept of olfactory AI and the lack of research in this area
- Current state and future potential of olfactory AI technology
- Applications of olfactory AI in the automotive industry
- Challenges in developing olfactory AI systems
- Integrating AI with mechanical systems
- The future of autonomous vehicles
- Advice for young engineers
About the guest: Kordel France, an AI architect and technologist, is at the forefront of developing machine olfaction—teaching robots to smell. With a career spanning roles from Chief Technology Officer at startups to his current work at Toyota, Kordel's expertise integrates computer vision, sensor systems, and multi-agent learning.
Links:
Kordel France - LinkedIn
At PDX 2025, you'll experience a dynamic blend of workshops, presentations, and hands-on demonstrations. Exhibitors will go beyond showcasing products—they'll teach you how to use them effectively in real-world scenarios. This interactive format ensures you leave with tangible skills and solutions you can immediately apply to your work.
About Being An Engineer
The Being An Engineer podcast is a repository for industry knowledge and a tool through which engineers learn about and connect with relevant companies, technologies, people resources, and opportunities. We feature successful mechanical engineers and interview engineers who are passionate about their work and who made a great impact on the engineering community.
The Being An Engineer podcast is brought to you by Pipeline Design & Engineering. Pipeline partners with medical & other device engineering teams who need turnkey equipment such as cycle test machines, custom test fixtures, automation equipment, assembly jigs, inspection stations and more. You can find us on the web at www.teampipeline.us
Chapters
1. S5E48 Kordel France | Olfactory AI (00:00:00)
2. Kordel France's Introduction and Background (00:00:27)
3. The Concept of Olfactory AI (00:05:11)
4. Current State and Future of Olfactory AI (00:08:26)
5. Applications of Olfactory AI in Automotive Industry (00:12:32)
6. Challenges in Developing Olfactory AI (00:17:35)
7. Integration of AI with Mechanical Systems (00:35:12)
8. Future of Autonomous Vehicles (00:39:04)
9. Advice for Young Engineers (00:42:36)
10. Closing Remarks (00:45:39)
290 episodes
Manage episode 452600413 series 2887096
Today, we are thrilled to host an episode with an exceptional guest pushing the boundaries of artificial intelligence. Kordel France discussed the challenges and potential of digitizing scents. He highlighted the need for a standard data format for olfactory AI and the complexities of detecting and analyzing air molecules. Kordel emphasized the importance of olfactory AI in various industries, including automotive for HVAC systems and quality control, and aerospace for detecting chemical leaks. He predicted that reliable olfactory AI for consumer products is 10 years away, while navigation and aerospace applications could be achieved sooner. France also stressed the need for better integration of AI with hardware and the importance of team collaboration in engineering.
Main Topics Covered:
- Kordel's background and early interest in engineering
- The concept of olfactory AI and the lack of research in this area
- Current state and future potential of olfactory AI technology
- Applications of olfactory AI in the automotive industry
- Challenges in developing olfactory AI systems
- Integrating AI with mechanical systems
- The future of autonomous vehicles
- Advice for young engineers
About the guest: Kordel France, an AI architect and technologist, is at the forefront of developing machine olfaction—teaching robots to smell. With a career spanning roles from Chief Technology Officer at startups to his current work at Toyota, Kordel's expertise integrates computer vision, sensor systems, and multi-agent learning.
Links:
Kordel France - LinkedIn
At PDX 2025, you'll experience a dynamic blend of workshops, presentations, and hands-on demonstrations. Exhibitors will go beyond showcasing products—they'll teach you how to use them effectively in real-world scenarios. This interactive format ensures you leave with tangible skills and solutions you can immediately apply to your work.
About Being An Engineer
The Being An Engineer podcast is a repository for industry knowledge and a tool through which engineers learn about and connect with relevant companies, technologies, people resources, and opportunities. We feature successful mechanical engineers and interview engineers who are passionate about their work and who made a great impact on the engineering community.
The Being An Engineer podcast is brought to you by Pipeline Design & Engineering. Pipeline partners with medical & other device engineering teams who need turnkey equipment such as cycle test machines, custom test fixtures, automation equipment, assembly jigs, inspection stations and more. You can find us on the web at www.teampipeline.us
Chapters
1. S5E48 Kordel France | Olfactory AI (00:00:00)
2. Kordel France's Introduction and Background (00:00:27)
3. The Concept of Olfactory AI (00:05:11)
4. Current State and Future of Olfactory AI (00:08:26)
5. Applications of Olfactory AI in Automotive Industry (00:12:32)
6. Challenges in Developing Olfactory AI (00:17:35)
7. Integration of AI with Mechanical Systems (00:35:12)
8. Future of Autonomous Vehicles (00:39:04)
9. Advice for Young Engineers (00:42:36)
10. Closing Remarks (00:45:39)
290 episodes
All episodes
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