Dresden 2020 – wissenschaftliches Programm

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AKPIK: Arbeitskreis Physik, moderne Informationstechnologie und Künstliche Intelligenz

AKPIK 1: AKPIK Talks

AKPIK 1.7: Vortrag

Montag, 16. März 2020, 18:15–18:30, HSZ 301

Wat is Artificial Intelligence? — •Norbert Sadler — Wasserburger Str. 25a 85540 Haar

Current AI processses are used for pattern-based analyses of big data, which in turn enable autonomous decision making. AI is not being integrated or expanded into scientific decision making based on nature constants and physical laws.

We are looking for a "human Interface" linked to AI as well as to the synchronously firing eigenvalue frequency of the innovative alpha- and beta waves in the relaxed part of the brain at a frequency range of 8-16 Hz.

AI can access the alpha-and beta waves based on a linear mapping of the Josephson frequency f(J)=2x(0.1eV)/(h). This can occur at a neuronal potential of 0.1 Volt, from the overlaid quantum state to the 10**11 neurons and the 10**14 synapses of the brain. The linear mapping follows Heisenberg`s matrix mechanics.

f(J)=2x(0.1eV)/(h)=2x(15.6 X 15.6)Hz x 10**11 neurons/brain.

f(J)=2x((1/64 Codons) X 15.6)Hz x 10**14 synapses/Neuron. The Josephson frequency f(J)=15.6 Hz is associated with the brain waves!. For further AI-associated Interfaces can be found:. On cosmolology: f(AI)=(69% dark E.)/(4.5% bar. Mat.)=15.3. On the entropy: f(AI)=1/(entropy 0.066)=e**e=15.15. On the golden ratio Phi: f(AI)=3Pi x Phi(1.618)=15.3. Conclusion: AI is a fraktal of the neurological intelligence and applicable in science and technique. Information: www.artificial-intelligence-in-science.com