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MBA25 Fred Jordan | Information processing with Human Neurons, faster, learns and highly efficient
š Unlocking the Future of AI with Biocomputing! šæ
Ā Imagine a world where computers are not just machines but living entities, processing information with the efficiency of nature itself. Biocomputing with human neurons is revolutionizing the way we think about technology and artificial intelligence.
Fred Jordan, co-founder of Final Spark, is at the forefront of this groundbreaking field. By harnessing the natural power of human neurons, biocomputing offers a million-fold increase in energy efficiency compared to traditional AI systems.This pioneering approach not only promises to transform the landscape of computing, it also paves the way of using biological AI in our daily lives.
------------------------------------------------------------------Support this conversation by attributing a value for the creator (me). My podcast model is based you rating this episode. It could be a monetary value as a donation, membership or something different. The business model goes in various names, such as Value 4 Value (ā ā Adem Curry)ā ā , Gift economy (ā ā Charles Eisensteinā ā ) or ā ā Pay what you wantā ā model.
Because its always nice to receive an acknowledgement that you have liked what I do.
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ā =use ā ā ā Gumroadā ā ā for a one-time or monthly donationā
= ā ā use Patreonā ā ā for a one-time or monthly donationā
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= ā ā Or something else, like helping me with the podcast or other topics I haven't thought ofā ā
------------------------------------
ā ā --> Read here moreā ā about this and other podcast episodes if you prefer reading instead of listing.
The Masters of Beautiful Achievements podcast series is where Alexander Prinsen explores natural science, innovation, systems thinking and leadership. As systemic innovation consultant at ā ā scopematters.comā ā he helps organizations accelerate to save costs, do good and operate within the planetary boundaries.
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By Masters of Beautiful Achievementsš Unlocking the Future of AI with Biocomputing! šæ
Ā Imagine a world where computers are not just machines but living entities, processing information with the efficiency of nature itself. Biocomputing with human neurons is revolutionizing the way we think about technology and artificial intelligence.
Fred Jordan, co-founder of Final Spark, is at the forefront of this groundbreaking field. By harnessing the natural power of human neurons, biocomputing offers a million-fold increase in energy efficiency compared to traditional AI systems.This pioneering approach not only promises to transform the landscape of computing, it also paves the way of using biological AI in our daily lives.
------------------------------------------------------------------Support this conversation by attributing a value for the creator (me). My podcast model is based you rating this episode. It could be a monetary value as a donation, membership or something different. The business model goes in various names, such as Value 4 Value (ā ā Adem Curry)ā ā , Gift economy (ā ā Charles Eisensteinā ā ) or ā ā Pay what you wantā ā model.
Because its always nice to receive an acknowledgement that you have liked what I do.
Here are some options how to support this podcast
ā =use ā ā ā Gumroadā ā ā for a one-time or monthly donationā
= ā ā use Patreonā ā ā for a one-time or monthly donationā
= ā ā Buy me a coffee for a one time small contributionĀ ā ā ā ā ā
In addition you can also opt forā ā ā
= ā ā Join my emaillist to stay updatedĀ ā ā
= ā ā Or something else, like helping me with the podcast or other topics I haven't thought ofā ā
------------------------------------
ā ā --> Read here moreā ā about this and other podcast episodes if you prefer reading instead of listing.
The Masters of Beautiful Achievements podcast series is where Alexander Prinsen explores natural science, innovation, systems thinking and leadership. As systemic innovation consultant at ā ā scopematters.comā ā he helps organizations accelerate to save costs, do good and operate within the planetary boundaries.