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🇺🇦 #NowPlaying on KEXP's #DriveTime
The Three Degrees:
🎵 You’re the One
#TheThreeDegrees
https://funkbro.bandcamp.com/track/funkbro-three-degrees-youre-the-one-retro-roland-riso-regroove
https://open.spotify.com/track/59fvJyISkna6QpSeNY27pX

This https://arxiv.org/abs/2407.17958 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

A survey on big Ramsey structures
In recent years, there has been much progress in the field of structural Ramsey theory, in particular in the study of big Ramsey degrees. In all known examples of infinite structures with finite big Ramsey degrees, there is in fact a single expansion of the structure, called a big Ramsey structure, which correctly encodes the exact big Ramsey degrees of every finite substructure simultaneously. The first half of the article collects facts about this phenomenon that have appeared in the literatu…

Spain records highest May temperature on record #Spain

Spain records highest May temperature on record
Mainland Spain experienced its hottest May day ever on Friday, with the average temperature surpassing 24 degrees Celsius (75 degrees Fahrenheit), national weather agency AEMET said on Monday.

This https://arxiv.org/abs/2504.13197 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Superzone gap formation induced by ferroic orders
We demonstrate that a superzone gap, typically associated with antiferroic ordering, can also emerge from ferroic orders in systems with sublattice degrees of freedom. By analyzing a $p$-orbital tight-binding model on a zigzag chain, we show that a Su--Schrieffer--Heeger-type gap is induced by ferroquadrupolar or ferromagnetic order or by applying an external magnetic field.

VUSA: Virtually Upscaled Systolic Array Architecture to Exploit Unstructured Sparsity in AI Acceleration
Shereef Helal, Alberto Garcia-Ortiz, Lennart Bamberg
https://arxiv.org/abs/2506.01166

VUSA: Virtually Upscaled Systolic Array Architecture to Exploit Unstructured Sparsity in AI Acceleration
Leveraging high degrees of unstructured sparsity is a promising approach to enhance the efficiency of deep neural network DNN accelerators - particularly important for emerging Edge-AI applications. We introduce VUSA, a systolic-array architecture that virtually grows based on the present sparsity to perform larger matrix multiplications with the same number of physical multiply-accumulate MAC units. The proposed architecture achieves saving by 37% and 68% in area and power efficiency, respecti…

This https://arxiv.org/abs/2306.11965 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Symmetry's Edge in Cortical Dynamics: Multiscale Dynamics of Ensemble Excitation and Inhibition
Creating a quantitative theory for the cortex presents challenges and raises questions. What are the significant scales--micro, meso, or macroscopic? What are the interactions--pairwise, higher order, or mean-field? And what control parameters are relevant--noisy, dissipative, or emergent? We suggest an approach inspired by advances in understanding matter. This involves identifying invariances in neuron ensemble dynamics, searching for order parameters connecting key degrees of freedom and d…

This https://arxiv.org/abs/2412.15368 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Sifted degrees of the equations of the Rees module and their connection with the Artin-Rees numbers
Let $A$ be a noetherian ring, $I$ an ideal of $A$ and $N\subset M$ finitely generated $A$-modules. The relation type of $I$ with respect to $M$, denoted by ${\bf rt}\,(I;M)$, is the maximal degree in a minimal generating set of relations of the Rees module ${\bf R}(I;M)=\oplus_{n\geq 0}I^nM$. It is a well-known invariant that gives a first measure of the complexity of ${\bf R}(I;M)$. To help to measure this complexity, we introduce the sifted type of ${\bf R}(I;M)$, denoted by ${\bf st}\,(I;M)$…