Tootfinder

A4FN: an Agentic AI Architecture for Autonomous Flying Networks
Andr\'e Coelho, Pedro Ribeiro, Helder Fontes, Rui Campos
https://arxiv.org/abs/2510.03829 https://

A4FN: an Agentic AI Architecture for Autonomous Flying Networks
This position paper presents A4FN, an Agentic Artificial Intelligence (AI) architecture for intent-driven automation in Flying Networks (FNs) using Unmanned Aerial Vehicles (UAVs) as access nodes. A4FN leverages Generative AI and Large Language Models (LLMs) to enable real-time, context-aware network control via a distributed agentic system. It comprises two components: the Perception Agent (PA), which semantically interprets multimodal input -- including imagery, audio, and telemetry data -- f…

Nuclear fusion plasma fuelling with ice pellets using a neuromorphic controller
L. L. T. C. Jansen, E. Petri, M. van Berkel, W. P. M. H. Heemels
https://arxiv.org/abs/2509.02147

Nuclear fusion plasma fuelling with ice pellets using a neuromorphic controller
In reactor-grade tokamaks, pellet injection is the best candidate for core plasma fuelling. However, density control schemes that can handle the hybrid nature of this type of fuelling, i.e., the discrete impact of the pellets on the continuously evolving plasma density, are lacking. This paper proposes a neuromorphic controller, inspired by the integrate-and-fire neuronal model, to address this problem. The overall system is modelled as a hybrid system, and we analyse the proposed controller in…

Enhanced Performance of FeFET Gate Stack via Heterogeneously co-doped Ferroelectric HfO$_2$ Films
Shouzhuo Yang, David Lehninger, Peter Reinig, Fred Sch\"one, Raik Hoffmann, Konrad Seidel, Maximilian Lederer, Gerald Gerlach
https://arxiv.org/abs/2508.16768

Enhanced Performance of FeFET Gate Stack via Heterogeneously co-doped Ferroelectric HfO$_2$ Films
In this work, we explore the impact of spatially controlled Zr and Al heterogeneous co-doping in HfO$_2$ thin films tailored for metal-ferroelectric-insulator-semiconductor (MFIS) gate stacks of ferroelectric field effect transistors (FeFETs). By precisely modulating the vertical arrangement of Zr and Al dopants during atomic layer deposition, we introduce deliberate compositional gradients that affect crystallization dynamics during subsequent annealing. This strategy enables us to systematica…

Se podría aplicar la ley antiterrorista contra los energúmenos que estšn protagonizando las razias de la extrema derecha (incluídos los de FO (Falange Obrera)) contra la población de Torre Pacheco. Pero la ley es tan desigual en este país....

Almost disjoint families and some automorphic and injective properties of $\ell_\infty/c_0$
Piotr Koszmider, Ma{\l}gorzata Rojek
https://arxiv.org/abs/2509.22376 https://…

Almost disjoint families and some automorphic and injective properties of $\ell_\infty/c_0$
Answering questions of A. Avilés, F. Cabello Sánchez, J. Castillo, M. González and Y. Moreno we show that the following statements are independent of the usual axioms ZFC with arbitrarily large continuum: for every (some) $ω<κ<2^ω$ (1) any linear bounded operator $T: c_0(κ)\rightarrow\ell_\infty/c_0$ extends to any superspace of $c_0(κ)$. (2) any isomorphism between any two copies of $c_0(κ)$ inside $\ell_\infty/c_0$ extends to an automorphism of $\ell_\infty/c_0$. This contrasts…

Optimizers Qualitatively Alter Solutions And We Should Leverage This
Razvan Pascanu, Clare Lyle, Ionut-Vlad Modoranu, Naima Elosegui Borras, Dan Alistarh, Petar Velickovic, Sarath Chandar, Soham De, James Martens
https://arxiv.org/abs/2507.12224

Optimizers Qualitatively Alter Solutions And We Should Leverage This
Due to the nonlinear nature of Deep Neural Networks (DNNs), one can not guarantee convergence to a unique global minimum of the loss when using optimizers relying only on local information, such as SGD. Indeed, this was a primary source of skepticism regarding the feasibility of DNNs in the early days of the field. The past decades of progress in deep learning have revealed this skepticism to be misplaced, and a large body of empirical evidence shows that sufficiently large DNNs following stand…

Controlling the magneto-transport properties of magnetic topological insulator thin films from Cr$_x$(Bi$_y\,$Sb$_{1-y}$)$_{2-x}$Te$_3$ via molecular beam epitaxy
Jan Karthein, Jonas Buchhorn, Kaycee Underwood, Abdur Rehman Jalil, Max Va{\ss}en-Carl, Peter Sch\"uffelgen, Detlev Gr\"utzmacher, Thomas Sch\"apers
https://

Controlling the magneto-transport properties of magnetic topological insulator thin films from Cr$_x$(Bi$_y\,$Sb$_{1-y}$)$_{2-x}$Te$_3$ via molecular beam epitaxy
In this work we present a systematic in-depth study of how we can alter the magneto-transport properties of magnetic topological insulator thin films by tuning the parameters of the molecular beam epitaxy. First, we show how a varying substrate temperature changes the surface morphology and when chosen properly leads to a high crystal quality. Next, the effect of the chromium concentration on the film roughness and crystal quality is investigated. Finally, both the substrate temperature and the…

A Goal-Oriented Approach for Active Object Detection with Exploration-Exploitation Balance
Yalei Yu, Matthew Coombes, Wen-Hua Chen, Cong Sun, Myles Flanagan, Jingjing Jiang, Pramod Pashupathy, Masoud Sotoodeh-Bahraini, Peter Kinnell, Niels Lohse
https://arxiv.org/abs/2509.11467

A Goal-Oriented Approach for Active Object Detection with Exploration-Exploitation Balance
Active object detection, which aims to identify objects of interest through controlled camera movements, plays a pivotal role in real-world visual perception for autonomous robotic applications, such as manufacturing tasks (e.g., assembly operations) performed in unknown environments. A dual control for exploration and exploitation (DCEE) algorithm is presented within goal-oriented control systems to achieve efficient active object detection, leveraging active learning by incorporating variance…

On the Parallel Complexity of Identifying Groups and Quasigroups via Decompositions
Dan Johnson, Michael Levet, Petr Vojt\v{e}chovsk\'y, Brett Widholm
https://arxiv.org/abs/2508.06478

On the Parallel Complexity of Identifying Groups and Quasigroups via Decompositions
In this paper, we investigate the computational complexity of isomorphism testing for finite groups and quasigroups, given by their multiplication tables. We crucially take advantage of their various decompositions to show the following: - We first consider the class $\mathcal{C}$ of groups that admit direct product decompositions, where each indecompsable factor is $O(1)$-generated, and either perfect or centerless. We show any group in $\mathcal{C}$ is identified by the $O(1)$-dimensional c…

Observation and Control of Chiral Spin Frustration in BiYIG Thin Films
Jinlong Wang, Hanchen Wang, Zhewen Xu, Artim L. Bassant, Junfeng Hu, Wenjie Song, Chaozhong Li, Xiangrui Meng, Mengqi Zhao, Song Liu, Guozhi Chai, Peng Gao, Wanjun Jiang, Desheng Xue, Dapeng Yu, William Legrand, Christian L. Degen, Rembert A. Duine, Pietro Gambardella, Haiming Yu
https://

Observation and Control of Chiral Spin Frustration in BiYIG Thin Films
Chiral interactions within magnetic layers stabilize the formation of noncollinear spin textures, which can be leveraged to design devices with tailored magnetization dynamics. Here, we introduce chiral spin frustration in which energetically degenerate magnetic states frustrate the Dzyaloshinskii-Moriya interaction. We demonstrate magnon-driven switching of the chirally frustrated spin states in Bi-substituted yttrium iron garnet thin films. These states are defined by an in-plane macrospin ne…