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Beyond Deep Learning:
Next Generation AI
A new paradigm for the brain (and AI)
Danko Nikolić
Robots Go Mental, evocenta, KGU
Large Language Models have done
everything they could.
We need new technologies for further
advancements of AI.
The scaling issues
5
IN A NUTSHELL
Intelligence
(loss, number of objects recognized, …)
Resources
(#
parameters,
data,
computation,
CO2)
Flat application
9
IN A NUTSHELL
Intelligence
(loss, number of objects recognized, …)
Resources
(#
parameters,
data,
computation,
CO2)
Flat application
Next-generation AI:
new technologies more similar to the
biological brains.
A network produces
cognition
Learning mechanisms
The classical
paradigm
Two big sets of
algorithm
Learning mechanisms
Network
A new set of mechanisms:
gates
Nikolić, D. (2015). Practopoiesis: Or
how life fosters a mind. Journal of
Theoretical Biology, 373, 40-61.
The new paradigm
The third box.
Classical
paradigm
New paradigm
Smart
gates
Nikolić, D. (2023). Where is the mind within the
brain? Transient selection of subnetworks by
metabotropic receptors and G protein-gated ion
channels. Computational Biology and Chemistry.
input
output
The classical paradigm
output
input
The new transient state of
the connections is the
result of cognition.
The new paradigm
What we
say and
do
What we
think
The results
of cognition
Gates are smart
Gates need to be trained much like weights
are being trained.
Only the classical
paradigm can compute in
a chain.
The new paradigm (transient
selection) needs things to happen
a lot more in parallel.
Learning mechanisms
Network
A new set of mechanisms:
gates
Train
∂∂∂
∂∂∂
∂∂∂
Nikolić, D. (2015). Practopoiesis: Or
how life fosters a mind. Journal of
Theoretical Biology, 373, 40-61.
∂∂∂
Thank you

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