On The Nature of or Essential Process and Mechanism Base Science and Technology

Brief and simplified discernment to complement the research and development Deep Learning Poised to ‘Blow Up’ Famed Fluid Equations | Quanta Magazine. And the scientific and technological quests as well as development and living as a whole:

AI and advanced computation-information processing have the following main advantages:

1.0 Can cover more comprehensively as well as broader and expanded range and details while functioning 24/7 

2.0 Can be equipped with sensors and detectors far beyond the outer senses cognition (i.e. the five senses)

3.0 Can be implemented as mechanism

4.0 Can be implemented as process

5.0 And as such or from 1.0-4.0, have the integrated potential to emulate or simulate real life or existential phenomena.

Therefore, process and mechanism base science and technology would not only greatly advance science, rather, also much deeper or greater understanding of nature of reality and truth. And thus, nature' epistemic and ontic. And vice versa. As simple way of saying is in order to make senses and realized realms and world not only in an interdependent and interconnected world. Rather, in intertwined and entangled existential world, proper concept, method, and process as well as means and tools (have to be aligned or matched existential processes and mechanisms or nature of reality and truth) are required and essential as had inspired and encouraged in diverse ways in diverse past discernments.

And therefore, life and existential meanings and purposes for which are impossible with non-process and mechanism base science.

And also for which is impossible for scientists and engineers since scientists and engineers can create, be parts, operate, and manage such processes and mechanisms, However, cannot perform or be such processes and mechanisms.

And as mentioned in the essay, scientists and engineers are still necessary to guide such potentialities of possibilities since AI and machines do not possess inner senses or states of or essence and nature of being and becoming.

And therefore, mathematician, computer, information technology, and AI as well as general or overall scientists, engineers, and technologists; and communities can greatly expand (and for or of others) functions, professional development and careers as well as knowledge, skills. and wisdom as parts of solutions in the development of essential and meaningful process and mechanism base science and technology to properly and better develop as well as accelerate the advancement of the scientific explorations and quests. And therefore, common interests, benefits, and good.

And as such, are also great causes, reasons, and opportunities locally and non-locally in the physical world. And beyond. Therefore, need to collaborate on the global scale to initiate the development of process and mechanism base science and technology. And as such, not only individual-shared-collective causes, reasons, and opportunities rather also for essential scientific and technology progresses. And hence, essential and meaningful development, living, and transformation and ascension locally and non-locally in the known physical world. And beyond

Complementary:

On The Nature of Spectra-Field-Space-Time-Geometry-Information. And The Human Experience or Solution - EPISTEMOLOGY OF LIFE AND ONTOLOGY OF EXISTENCE FOUNDATION AND INSTITUTE (epistemologyontologyfoundationinstitute.org)
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Local and Non-Local AI-Brain-Mind Collaboration Opportunities - EPISTEMOLOGY OF LIFE AND ONTOLOGY OF EXISTENCE FOUNDATION AND INSTITUTE (epistemologyontologyfoundationinstitute.org)

and among others such as global community links and resources Home - EPISTEMOLOGY OF LIFE AND ONTOLOGY OF EXISTENCE FOUNDATION AND INSTITUTE (epistemologyontologyfoundationinstitute.org).
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Updated 11/19/2022

On The Nature of or Essential Process and Mechanism Base Science and Technology - Philosophy And Science Beyond The Macro World - EPISTEMOLOGY OF LIFE AND ONTOLOGY OF EXISTENCE FOUNDATION AND INSTITUTE (epistemologyontologyfoundationinstitute.org)

Searches for New Physics with Quantum Sensors in the Laboratory and in Space - Marianna Safronova - YouTube

Quantum Many-Body Theory in the Quantum Information Era - Matthew Fisher - YouTube

Sadegh Ebrahimi - Quantum Sensing & Computing - YouTube

and among others such as Séamus Davis: Machine learning in electronic-quantum-matter imaging experiments - YouTube, Entanglement features of random neural network quantum states | PI Events (perimeterinstitute.ca), Learning in the quantum universe | PI Events (perimeterinstitute.ca). And growing globally. And growing globally.


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