Online Archive of University of Virginia Scholarship
Tempo: A Personalized Audio Experience; Nature Is All You Need: A New Paradigm in Machine Learning; The Theory of Everything163 views
Author
Cohen, Joseph, School of Engineering and Applied Science, University of Virginia
Advisors
Elliott, Travis, Department of Engineering and Society, University of Virginia
Barnes, Adam, EN-Elec & Comp Engr Dept, University of Virginia
Morrison, Briana, EN-Comp Science Dept, University of Virginia
Abstract
This paper introduces a theory of everything grounded not in new categorical frameworks, but in the recognition of reality’s fundamental neutrality, a state of intrinsic balance underlying all phenomena, empirical and subjective alike. Traditional attempts to understand existence through defined structures such as science, philosophy, or religion invariably encounter anomalies, revealing inherent limitations in any categorical approach. By reconceptualizing measurable reality as interference patterns within a universal neutral "field," quantum mechanics and general relativity emerge naturally as complementary, scale-dependent expressions of a single underlying wave dynamic. The theory extends seamlessly into subjective domains, explaining emotions and beliefs as internal informational states whose external reflections create predictable, self-fulfilling circumstances. Emotions thus become directional indicators guiding systems back to equilibrium. By integrating previously separate domains into a single coherent principle of balance, this theory offers a universally applicable framework capable of addressing classical paradoxes and supporting interdisciplinary advancement, providing practical insights into how shifts in internal definitions can reliably influence external outcomes across all fields and everyday experiences.
Degree
BS (Bachelor of Science)
Keywords
Theory of Everything; Principle of Balance; Subjective-Objective Unification; Paradigm Shifts; Conservation of Energy
Notes
School of Engineering and Applied Science
Bachelor of Science in Electrical Engineering and Computer Science
ECE Technical Advisor: Adam Barnes
CS Technical Advisor: Briana Morrison
STS Advisor: Travis Elliott
ECE Technical Team Members: Bella Heintges, Thomas Keathley, Michelle Monge, Naomi Solomon
Cohen, Joseph. Tempo: A Personalized Audio Experience; Nature Is All You Need: A New Paradigm in Machine Learning; The Theory of Everything. University of Virginia, School of Engineering and Applied Science, BS (Bachelor of Science), 2025-05-13, https://doi.org/10.18130/gj2s-9690.
