AI Feynman: a Physics-Inspired Method for Symbolic Regression

A core challenge for both physics and artificial intellicence (AI) is symbolic regression: finding a symbolic expression that matches data from an unknown function. Although this problem is likely to be NP-hard in principle, functions of practical interest often exhibit symmetries, separability, compositionality and other simplifying properties. In this spirit, we develop a recursive multidimensional symbolic regression algorithm that combines neural network fitting with a suite of physics-inspired techniques. We apply it to 100 equations from the Feynman Lectures on Physics, and it discovers all of them, while previous publicly available software cracks only 71; for a more difficult test set, we improve the state of the art success rate from 15% to 90%.Comment: 15 pages, 2 figs. Our code is available at https://github.com/SJ001/AI-Feynman and our Feynman Symbolic Regression Database for benchmarking can be downloaded at https://space.mit.edu/home/tegmark/aifeynman.htm

Synesthesia: a return to the body

Synesthesia is a neurological phenomenon whose nature and etiology remain unknown. In this paper, I apply the neurophenomenological perspective to reflect on the very nature of inducers and concurrents, including their perceptual and conceptual dimensions and their stability over time. Additionally, I analyze the role of attention and its influence over synesthesia, which contributes to the difficulties that we, synesthetes, find when sharing our personal experiences with non-synesthetes. Finally, I expose some examples of the current neuroscientific data and propose some insights into the embodied character of synesthesia, stressing the key role of its emotional component. I conclude describing the clinical applications of the findings in the field of synesthesia and their implications for the understanding of cognition in general

Hadron

Pg 4 : The Neurobiology of Memory: Unveiling the Mysteries of Cognitive Recall Pg 9 : CRISPR-Cas9: The Most Effective Method of Gene Editing Pg 11 : Remember that Room Tempearture Superconductor? Pg 13 : Can Capturing Carbon Stop Global Warming? Pg 15 : A Brief History of Modern Physics Pg 16 : Using Extremophiles to Study the Potential of Life on Mars Pg 19 : Designer Babies: An Ethical Dilemmahttps://digitalcommons.imsa.edu/hadron_magazine/1008/thumbnail.jp

Before and Beyond Representation: Towards an enactive conception of the Palaeolithic image\ud

For most archaeologists the meaning of prehistoric art appears to be grounded upon, if not synonymous with, the notion of representation and symbolism. This paper explores the possibility that the depictions we see already 30,000 years before present, for instance, at the caves of Chauvet and Lascaux, before and beyond representing the world, they first bring forth a new process of acting within this world and at the same time of thinking about it. It is argued that the unique ability of those early depictions to disrupt or question the ways the world is experienced under normal conditions makes possible for the visual apparatus to interrogate itself and thus acquire a sense of perceptual awareness not previously available. \u

The Importance of Quantum Information in the Stock Market and Financial Decision Making in Conditions of Radical Uncertainty

The Universe is a coin that’s already been flipped, heads or tails predetermined: all we’re doing is uncovering it the ‘paradox’ is only a conflict between reality and your feeling of what reality ‘ought to be’.Richard FeynmanThe aim of the research takes place through two parallel directions. The first is gaining an understanding of the applicability of quantum mechanics/quantum physics to human decision-making processes in the stock market with quantum information as a decision-making lever, and the second direction is neuroscience and artificial intelligence using postulates analogous to the postulates of quantum mechanics and radical uncertainty in conditions of radical uncertainty.The world of radical uncertainty (radical uncertainty is based on the knowledge of quantum mechanics from the claim that there is no causal certainty). it is everywhere in our world. "Radical uncertainty is characterized by vagueness, ignorance, indeterminacy, ambiguity and lack of information. He prefers to create 'mysteries' rather than 'puzzles' with defined solutions. Mysteries are ill-defined problems in which action is required, but the future is uncertain, the consequences unpredictable, and disagreement inevitable. "How should we make decisions in these circumstances?" (J. Kay and M. King, 2020), while "uncertainty and ambiguity are at the very core of the stock market. "Narratives are the currency of uncertainty" (N. Mangee, 2022)