TOSID Update:
Added formal paper presentation
https://github.com/ha1tch/TOSID/blob/main/tosid-paper.md

As PDF:
https://github.com/ha1tch/TOSID/blob/main/tosid-paper.pdf

The TOSID (Taxonomic Ontological Semantic IDentification System) is a comprehensive taxonomic framework designed to uniquely identify and classify any conceivable entity across the universe. The system uses a structured alphanumeric code that embeds hierarchical information about an entity's fundamental nature, origin, scope, and specific identity.

Latest working (non-paper) version:
https://github.com/ha1tch/TOSID/blob/main/tosid-01.md

Repo:
https://github.com/ha1tch/TOSID

New Project!

The TOSID (Taxonomic Ontological Semantic IDentification System) is a comprehensive taxonomic framework designed to uniquely identify and classify any conceivable entity across the universe. The system uses a structured alphanumeric code that embeds hierarchical information about an entity's fundamental nature, origin, scope, and specific identity.

https://github.com/ha1tch/TOSID/blob/main/tosid-01.md

"Proofs are Programs" https://www.youtube.com/watch?v=AGnTnbR1sSg

https://youtu.be/qqjlcuEHUlg

#Quantum #computation from #spacetime defect #networks | #MargaritaDavydova (#Caltech)

“Recorded as part of the Generalized Symmetries: #HighEnergy, #CondensedMatter and #Mathematics KITP conference from Apr 7, 2025 - Apr 10, 2025 at the Kavli Institute for #TheoreticalPhysics on the #UCSantaBarbara campus.”

#UCSB
#physics #computing #qubits #topologicaldefects #lagrangian

more at: https://www.kitp.ucsb.edu/activities/gensym-c25

"“RNA folding is a very tough problem,” concedes Shi-Jie Chen, a computational biophysicist at the University of Missouri in Columbia. But AI, he adds, is getting “better and better”."

https://www.nature.com/articles/d41586-025-00920-8

The Fourier Transform is a mathematical operation that transforms a function of time (or space) into a function of frequency. It decomposes a complex signal into its constituent sinusoidal components, each with a specific frequency, amplitude, and phase. This is particularly useful in many fields, such as signal processing, physics, and engineering, because it allows for analysing the frequency characteristics of signals. The Fourier Transform provides a bridge between the time and frequency domains, enabling the analysis and manipulation of signals in more intuitive and computationally efficient ways. The result of applying a Fourier Transform is often represented as a spectrum, showing how much of each frequency is present in the original signal.

\[\Large\boxed{\boxed{\widehat{f}(\xi) = \int_{-\infty}^{\infty} f(x)\ e^{-i 2\pi \xi x}\,\mathrm dx, \quad \forall\xi \in \mathbb{R}.}}\]

Inverse Fourier Transform:
\[\Large\boxed{\boxed{ f(x) = \int_{-\infty}^{\infty} \widehat f(\xi)\ e^{i 2 \pi \xi x}\,\mathrm d\xi,\quad \forall x \in \mathbb R.}}\]

The equation allows us to listen to mp3s today. Digital Music Couldn’t Exist Without the Fourier Transform: http://bit.ly/22kbNfi

There are problems in physics that are undecidable, even if you have all the initial information about the physical system.

"In math and computer science, researchers have long understood that some questions are fundamentally unanswerable. Now physicists are exploring how even ordinary physical systems put hard limits on what we can predict, even in principle."

https://www.quantamagazine.org/next-level-chaos-traces-the-true-limit-of-predictability-20250307/

How do you feel when you have some heavy computation and your entire dataset fits in your L3 CPU cache? :D