Non-Obvious Alien AI Constructions: Opportunities and Implications

Sean Khozin

doi:10.20944/preprints202408.1929.v1

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preprints.org > biology and life sciences > life sciences > doi: 10.20944/preprints202408.1929.v1 (registering DOI)

Preprint Article Version 1 This version is not peer-reviewed

Non-Obvious Alien AI Constructions: Opportunities and Implications

Sean Khozin

Version 1 : Received: 26 August 2024 / Approved: 26 August 2024 / Online: 27 August 2024 (10:15:22 CEST)

How to cite: Khozin, S. Non-Obvious Alien AI Constructions: Opportunities and Implications. Preprints 2024, 2024081929. https://doi.org/10.20944/preprints202408.1929.v1 Khozin, S. Non-Obvious Alien AI Constructions: Opportunities and Implications. Preprints 2024, 2024081929. https://doi.org/10.20944/preprints202408.1929.v1

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MDPI and ACS Style

Khozin, S. Non-Obvious Alien AI Constructions: Opportunities and Implications. Preprints 2024, 2024081929. https://doi.org/10.20944/preprints202408.1929.v1

APA Style

Khozin, S. (2024). Non-Obvious Alien AI Constructions: Opportunities and Implications. Preprints. https://doi.org/10.20944/preprints202408.1929.v1

Chicago/Turabian Style

Khozin, S. 2024 "Non-Obvious Alien AI Constructions: Opportunities and Implications" Preprints. https://doi.org/10.20944/preprints202408.1929.v1

Abstract

This paper examines the utility and exploitation of non-obvious "alien" AI constructions, artificial intelligence solutions that significantly deviate from human intuition and traditional problem-solving approaches. It explores recent revelations, key characteristics, applications across various domains, and far-reaching implications for scientific research and innovation. Particular attention is given to developments in mathematical reasoning, drug discovery, and healthcare. The paper also discusses challenges in implementation, ethical considerations, and future directions, including meta-learning algorithms and human-AI collaboration frameworks. By synthesizing current research and identifying emerging trends, this paper aims to provide a basic understanding of the transformative potential of non-obvious AI solutions in reshaping scientific discovery and biomedical innovation.

Keywords

artificial intelligence; machine learning; biomdical research; drug dicovery and development

Subject

Biology and Life Sciences, Life Sciences

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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