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What if AI could run on human brain cells instead of energy-hungry chips?
Meet Dr. Fred Jordan, the Swiss scientist who ditched traditional computing to grow living human neurons in his lab—and they're learning to compute with 1 MILLION TIMES less energy than current AI systems.
In this mind-bending conversation, Fred reveals:
- How he creates "brain organoids" from human stem cells
- Why biocomputing could solve AI's massive energy crisis
- Applications for Mars missions and personalized medicine
- The ethical questions of using human neurons as processors
This isn't science fiction—it's happening right now in Switzerland.
Ready to have your mind blown about the future of computing?
Abut Fred Jordan:
Fred Jordan is an experienced Chief Executive Officer with a proven track record of building successful and profitable businesses. With a strong background in innovation, computer science, artificial intelligence, and entrepreneurship, he combines technical expertise with strategic leadership. He holds an M.Sc. in Physics and a Ph.D. in Signal Processing.
Fred is the co-founder of AlpVision, a leading provider of technologies and smartphone solutions for the automatic detection of genuine and counterfeit products, and FinalSpark, a pioneering startup leveraging biological neural networks to advance the development of Artificial General Intelligence.
More about AlpVision: https://alpvision.com/
More about FinalSpark: https://finalspark.com/
🎙️ Hosted by Zivile Einikyte:
https://www.perceptionparadox.com
LinkedIn:
https://www.linkedin.com/in/zivileeinikyte/
🎵 Music by Luca Nioi:
http://www.lucanioi.com/
Chapters
00:00 Introduction and Background
02:46 The Concept of Biocomputing
05:28 Creating Brain Organoids
07:56 Training Living Neurons
10:42 Real-Time Neuron Activity
13:23 Vision for Bio Cloud Computing
15:48 Ethical Considerations in Biocomputing
18:18 Applications in Medicine and Space Exploration
20:46 Challenges and Future Directions
23:34 Personal Journey and Entrepreneurial Insights
26:10 Inspiration and Closing Thoughts
What if AI could run on human brain cells instead of energy-hungry chips?
Meet Dr. Fred Jordan, the Swiss scientist who ditched traditional computing to grow living human neurons in his lab—and they're learning to compute with 1 MILLION TIMES less energy than current AI systems.
In this mind-bending conversation, Fred reveals:
- How he creates "brain organoids" from human stem cells
- Why biocomputing could solve AI's massive energy crisis
- Applications for Mars missions and personalized medicine
- The ethical questions of using human neurons as processors
This isn't science fiction—it's happening right now in Switzerland.
Ready to have your mind blown about the future of computing?
Abut Fred Jordan:
Fred Jordan is an experienced Chief Executive Officer with a proven track record of building successful and profitable businesses. With a strong background in innovation, computer science, artificial intelligence, and entrepreneurship, he combines technical expertise with strategic leadership. He holds an M.Sc. in Physics and a Ph.D. in Signal Processing.
Fred is the co-founder of AlpVision, a leading provider of technologies and smartphone solutions for the automatic detection of genuine and counterfeit products, and FinalSpark, a pioneering startup leveraging biological neural networks to advance the development of Artificial General Intelligence.
More about AlpVision: https://alpvision.com/
More about FinalSpark: https://finalspark.com/
🎙️ Hosted by Zivile Einikyte:
https://www.perceptionparadox.com
LinkedIn:
https://www.linkedin.com/in/zivileeinikyte/
🎵 Music by Luca Nioi:
http://www.lucanioi.com/
Chapters
00:00 Introduction and Background
02:46 The Concept of Biocomputing
05:28 Creating Brain Organoids
07:56 Training Living Neurons
10:42 Real-Time Neuron Activity
13:23 Vision for Bio Cloud Computing
15:48 Ethical Considerations in Biocomputing
18:18 Applications in Medicine and Space Exploration
20:46 Challenges and Future Directions
23:34 Personal Journey and Entrepreneurial Insights
26:10 Inspiration and Closing Thoughts