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heise | SSD im Mac mini aufrüsten: Die Schritt-für-Schritt-Anleitung
Der Massenspeicher des Mac mini M4 und M4 Pro lässt sich mit ein wenig Aufwand wechseln. Wir zeigen, wie Sie SSD-Module tauschen und den Mac wiederherstellen.
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So much of what's wrong with tech started from one simple phenomenon: focusing on the money-movers instead of people who actually *make* shit. Real technology matters. Inventors over investors, every time. Founders over funders. Writing code > writing checks. https://www.anildash.com/2025/10/24/foun…

Founders Over Funders. Inventors Over Investors.
A blog about making culture. Since 1999.

A generalized semi-analytic model for the combined outflow from a cluster of stars with strong stellar winds
Stan Owocki
https://arxiv.org/abs/2507.18721 https://

A generalized semi-analytic model for the combined outflow from a cluster of stars with strong stellar winds
We derive semi-analytic solutions for the thermally driven cumulative outflow from a dense stellar cluster that consists of a large number of stars with strong stellar winds, under the key assumption that their mass and energy deposition can be treated as a continuous source of thermalized wind material. Our approach provides explicit analytic forms for the flow critical radius and sound speed, which then allows for full solution by inward/outward integration from this critical radius. Applicat…

Controllable Conversational Theme Detection Track at DSTC 12
Igor Shalyminov, Hang Su, Jake Vincent, Siffi Singh, Jason Cai, James Gung, Raphael Shu, Saab Mansour
https://arxiv.org/abs/2508.18783

Controllable Conversational Theme Detection Track at DSTC 12
Conversational analytics has been on the forefront of transformation driven by the advances in Speech and Natural Language Processing techniques. Rapid adoption of Large Language Models (LLMs) in the analytics field has taken the problems that can be automated to a new level of complexity and scale. In this paper, we introduce Theme Detection as a critical task in conversational analytics, aimed at automatically identifying and categorizing topics within conversations. This process can signific…

Analytic Linearization and Holomorphic Extensions of Proper Groupoids
Rui Loja Fernandes, Ning Jiang
https://arxiv.org/abs/2508.18036 https://arxiv.org/pdf…

Analytic Linearization and Holomorphic Extensions of Proper Groupoids
We establish analytic linearization of s-proper analytic groupoids around invariant submanifolds. We apply this result to show that any such groupoid admits a holomorphic extension.

An analytic result for the $0 \to ggHHH$ amplitude
John M. Campbell, Giuseppe De Laurentis, R. Keith Ellis
https://arxiv.org/abs/2507.19313 https://arxiv.o…

An analytic result for the $0 \to ggHHH$ amplitude
We present a fully analytic calculation of the leading-order one-loop amplitude for triple Higgs production via gluon fusion, $gg \to HHH$, retaining full dependence on the mass of the heavy quark circulating in the loop. This amplitude provides a direct probe of the triple and quartic Higgs self-couplings, the measurement of which is a central goal of current and future colliders. The amplitude can be presented in compact form thanks to the use of analytic reconstruction techniques, based on f…

Dirac points annihilation and its obstruction characterized by Euler number and quaternionic charges in kagome lattice
M. Finck, D. Solnyshkov, J. Dubois, G. Malpuech
https://arxiv.org/abs/2507.19238

Dirac points annihilation and its obstruction characterized by Euler number and quaternionic charges in kagome lattice
We investigate the topological phenomenon of Dirac point annihilation and its obstruction in three-band, real symmetric Hamiltonians with time-reversal symmetry, and their relation to the Euler number, a well-known topological invariant. For this purpose, we study the example of the kagome lattice using a simple tight-binding model. By tuning the parameters of the lattice continuously, we illustrate situations where two Dirac points are able to annihilate, and others, where this annihilation is…

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics
Yongjie Li, Ruilin Nong, Jianan Liu, Lucas Evans
https://arxiv.org/abs/2507.18949 https://

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics
Large language models (LLMs) are revolutionizing the field of education by enabling personalized learning experiences tailored to individual student needs. In this paper, we introduce a framework for Adaptive Learning Systems that leverages LLM-powered analytics for personalized curriculum design. This innovative approach uses advanced machine learning to analyze real-time data, allowing the system to adapt learning pathways and recommend resources that align with each learner's progress. By co…

PPipe: Efficient Video Analytics Serving on Heterogeneous GPU Clusters via Pool-Based Pipeline Parallelism
Z. Jonny Kong, Qiang Xu, Y. Charlie Hu
https://arxiv.org/abs/2507.18748

PPipe: Efficient Video Analytics Serving on Heterogeneous GPU Clusters via Pool-Based Pipeline Parallelism
With the rapid innovation of GPUs, heterogeneous GPU clusters in both public clouds and on-premise data centers have become increasingly commonplace. In this paper, we demonstrate how pipeline parallelism, a technique wellstudied for throughput-oriented deep learning model training, can be used effectively for serving latency-bound model inference, e.g., in video analytics systems, on heterogeneous GPU clusters. Our work exploits the synergy between diversity in model layers and diversity in GP…

Ein Fall aus Kalifornien zeigt, wie gefährlich der unbedachte Einsatz von KI in juristischen Verfahren sein kann. Ein Anwalt muss nun 10.000 US-Dollar Strafe zahlen - die höchste Summe, die in Kalifornien jemals für ein solches Vergehen gegen einen einzelnen Anwalt verhängt wurde. 💸
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