Fundamentals of Artificial Intelligence

Artificial Intelligence AI can be simply defined as solving problems through automated algorithms. In this article, we define and explain the basic prerequisite skills of a future AI programmer and show how he can improve his abilities in the field of artificial intelligence programming. Finally, we use AI to test the correctness of the well-known theories of relativity and quantum mechanics introduced by the giants A. Einstein and E. Schrödinger more than a century ago. The numerical results are stunning because they show that the well-established theories of relativity and quantum mechanics are only partially true and contain inherent flaws.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-03
DOI
https://doi.org/10.5281/zenodo.14959354
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Fundamentals of Artificial Intelligence

Zenodo (CERN European Organization for Nuclear Research)
Computational Physics and Python Applications
article

Fundamentals of Artificial Intelligence

article en

Abstract

Artificial Intelligence AI can be simply defined as solving problems through automated algorithms. In this article, we define and explain the basic prerequisite skills of a future AI programmer and show how he can improve his abilities in the field of artificial intelligence programming. Finally, we use AI to test the correctness of the well-known theories of relativity and quantum mechanics introduced by the giants A. Einstein and E. Schrödinger more than a century ago. The numerical results are stunning because they show that the well-established theories of relativity and quantum mechanics are only partially true and contain inherent flaws.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 75%
Computational Physics and Python Applications
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Fundamentals of Artificial Intelligence · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS