Disaggregiertes Deep Learning durch In-Physics Computing bei Radiofrequenz
Moderne Edge-Geräte, wie Kameras, Drohnen, und Internet-of-Things-Knoten, Setzen Sie auf Deep Learning, um eine breite Palette intelligenter Anwendungen zu ermöglichen, inklusive Objekterkennung, Umgebungswahrnehmung, and autonomous navigation. Jedoch, deploying deep learning models directly on the often resource-constrained edge devices...
Über kanonische Differentialgleichungen für Calabi-Yau-Mehrskalen-Feynman Integrale
Wir verallgemeinern eine kürzlich in der Literatur eingeführte Methode, that derives canonical differential equations, to multi-scale Feynman integrals with an underlying Calabi-Yau geometry. We start by recomputing a canonical form for the sunrise integral with all unequal masses. Zusätzlich, we compute for...
Zum Grad der Automatisierbarkeit von Quadratsummenbeweisen
Die Summe der Quadrate (SOS) Hierarchie, auch als Lasserre-Hierarchie bekannt, has emerged as a promising tool in optimization. Jedoch, it remains unclear whether fixed-degree SoS proofs can be automated [O'Donnell (2017)]. In der Tat, there are examples of polynomial systems with bounded coefficients that admit...
Erste Studie zur Neutrino-Winkelrekonstruktion mittels quasielastischer Methode Interaktionen in MicroBooNE
We investigate the expected precision of the reconstructed neutrino direction using a {\nu}{\In}-argon quasielastic-like event topology with one muon and one proton in the final state and the reconstruction capabilities of the MicroBooNE liquid argon time projection chamber. This direction is of...
Bringing light into the Landau-Lifshitz-Gilbert equation: Consequences of its fractal non-Markovian memory kernel for optically induced magnetic inertia and magnons
The Landau-Lisfhitz-Gilbert (LLG) equation has been the cornerstone of modeling the dynamics of localized spins, viewed as classical vectors of fixed length, within nonequilibrium magnets. When light is employed as the nonequilibrium drive, the LLG equation must be supplemented with additional terms...
Zeptosecond free-electron compression through temporal lensing
The pursuit of ever-shorter time scales is a frontier in modern physics, exemplified by the synthesis of attosecond light pulses — an achievement made possible by coherently superimposing a broad range of photon energies, as required by the uncertainty principle. Jedoch, extending...
Anpassen von Baummetriken und Ultrametriken in Datenströme
Fitting distances to tree metrics and ultrametrics are two widely used methods in hierarchical clustering, primarily explored within the context of numerical taxonomy. Given a positive distance function $D:\binom{V}{2}\rightarrow\mathbb{R}_{>0}$, the goal is to find a tree (or ultrametric) $T$ including all elements...
Flexoelektrische Polarisation in chiralen Flüssigkristallen: elektrostatisch Selbstinteraktionen topologischer Defekte
The presence of topological defects in apolar chiral liquid crystals cause orientational distortions, was zu einer ungleichmäßigen Belastung führt. This non-uniform strain generates an electric polarization response due to the flexoelectric effect, welches ein internes elektrisches Feld induziert. Associated to this electric field is...
Wiederholen zum Erinnern: Bewahrung des Domänenwissens in der Streaming-Sprache Modelle
Kontinuierliches Lernen in großen Sprachmodellen (LLMs) typically encounters the critical challenge of catastrophic forgetting, where previously acquired knowledge deteriorates upon exposure to new data. While techniques like replay buffers and parameter-efficient tuning (z.B., Low-Rank-Adaption oder LoRA) have been proposed, few...
Token-Shuffle: Auf dem Weg zur hochauflösenden Bilderzeugung mit Autoregressive Modelle
Autoregressiv (AR) Modelle, lange Zeit dominant in der Sprachgenerierung, are increasingly applied to image synthesis but are often considered less competitive than Diffusion-based models. A primary limitation is the substantial number of image tokens required for AR models, which constrains both training and...