Tootfinder

Scaling Laws for Uncertainty in Deep Learning
Mattia Rosso, Simone Rossi, Giulio Franzese, Markus Heinonen, Maurizio Filippone
https://arxiv.org/abs/2506.09648

Scaling Laws for Uncertainty in Deep Learning
Deep learning has recently revealed the existence of scaling laws, demonstrating that model performance follows predictable trends based on dataset and model sizes. Inspired by these findings and fascinating phenomena emerging in the over-parameterized regime, we examine a parallel direction: do similar scaling laws govern predictive uncertainties in deep learning? In identifiable parametric models, such scaling laws can be derived in a straightforward manner by treating model parameters in a B…

Strong article about "the silence of the generals"
#usa

The Silence of the Generals
As President Donald Trump crossed a dangerous line at Fort Bragg, the brass failed to speak out in the Army’s defense.

"Judge Michael Wilner imposed $31,000 in sanctions against the law firms involved, saying 'no reasonably competent attorney should out-source research and writing' to AI" #aiethics
https://www.

Don't leave for the weekend without reading today's packed Metacurity for the most crucial infosec developments you should know, including
--Customers keep buying Predator spyware despite US sanctions
--Ukraine paralyzed top Siberian ISP,
--Meta AI shows other customers' sensitive info,
--Whole Foods still grappling with product disruptions,
--Malicious adtech is highly interconnected,
--Cybercrims are selling lost RCMP key containing informants…

Customers keep buying Predator spyware despite US sanctions
Ukraine paralyzed top Siberian ISP, Meta AI shows other customers' sensitive info, Whole Foods still grappling with product disruptions, Malicious adtech is highly interconnected, Cybercrims are selling lost RCMP key containing informants' data, BEC scammer sentenced to four years, much more

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Critical scaling for spectral functions
Konrad Kockler, Jan M. Pawlowski, Jonas Wessely
https://arxiv.org/abs/2506.09142 https://arxi…

Critical scaling for spectral functions
We study real-time scalar $ϕ^4$-theory in 2+1 dimensions near criticality. Specifically, we compute the single-particle spectral function and that of the $s$-channel four-point function in and outside the scaling regime. The computation is done with the spectral functional Callan-Symanzik equation, which exhibits manifest Lorentz invariance and preserves causality. We extract the scaling exponent $η$ from the spectral function and compare our result with that from a Euclidean fixed point anal…

Kibble-Zurek dynamical scaling hypothesis in the Google analog-digital quantum simulator of the $XX$ model
Yintai Zhang, Francis A. Bayocboc Jr., Jacek Dziarmaga
https://arxiv.org/abs/2506.10771

Kibble-Zurek dynamical scaling hypothesis in the Google analog-digital quantum simulator of the $XX$ model
The state-of-the-art tensor networks are employed to simulate the Hamiltonian ramp in the analog-digital quantum simulation of the quantum phase transition to the quasi-long-range ordered phase of the 2D square-lattice $XX$ model [Nature 638, 79 (2025)]. We focus on the quantum Kibble-Zurek (KZ) mechanism near the quantum critical point. Using the infinite projected entangled pair state (iPEPS), we simulate an infinite lattice and demonstrate the KZ scaling hypothesis for the $XX$ correlations …

Universality of scaling entropy in charged hadron multiplicity distributions at the LHC
L. S. Moriggi, F. S. Navarra, M. V. T. Machado
https://arxiv.org/abs/2506.09899

Universality of scaling entropy in charged hadron multiplicity distributions at the LHC
In this work, we investigate the scaling behavior of the entropy associated with the charged hadron multiplicity distribution P(N) in proton-proton collisions at the LHC. We show that the growth of this entropic indicator as a function of the Bjorken x variable exhibits a universal behavior, consistent with observations from deep inelastic scattering (DIS). This universality suggests that the entropy scaling is a property of the initial state and reflects the diffusive nature of gluon dynamics …

Human-robot collaborative transport personalization via Dynamic Movement Primitives and velocity scaling
Paolo Franceschi, Andrea Bussolan, Vincenzo Pomponi, Oliver Avram, Stefano Baraldo, Anna Valente
https://arxiv.org/abs/2506.09697

Human-robot collaborative transport personalization via Dynamic Movement Primitives and velocity scaling
Nowadays, industries are showing a growing interest in human-robot collaboration, particularly for shared tasks. This requires intelligent strategies to plan a robot's motions, considering both task constraints and human-specific factors such as height and movement preferences. This work introduces a novel approach to generate personalized trajectories using Dynamic Movement Primitives (DMPs), enhanced with real-time velocity scaling based on human feedback. The method was rigorously tested in …

Selenskyj fordert Halbierung der Preisobergrenze für russisches Öl
Der ukrainische Präsident Wolodymyr Selenskyj hat die westlichen Industrieländer aufgefordert, ihre Preisobergrenze für russisches Öl zu halbieren. Diese liegt derzeit bei 60 Dollar pro Barrel. "Jeder unserer Partner weiß, welcher Preisdeckel nötig ist - 30 Dollar (pro Barrel), nicht mehr", sagte Selenskyj in seiner abendlichen Videobotschaft.
Selenskyj bezog…
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Ukraine-Liveblog: ++ Ukraine erhält Leichname von Gefallenen ++
Die Ukraine hat die sterblichen Überreste von mehr als 1.200 getöteten Soldaten erhalten. Russland meldet einen Vorstoß im Westen der ukrainischen Region Donezk.