Tootfinder

Microsoft is now allowing developers to sign up for a private preview of what it calls the Windows Update orchestration platform, that will enable Windows Update to support any update for apps or drivers in the future.
https://www.theverge.com/news/675446/micro

Microsoft wants Windows Update to handle all apps
Microsoft is starting to open up Windows Update to third-party apps. A new preview is designed to let any app developer use Windows Update.

Audio-Mix-Funktion nicht mehr nur für Apples eigene Apps
Apple erlaubt es bei der Wiedergabe mit seiner Fotos-App, verschiedene Mikrofon-Klangmodelle zu nutzen. Das kommt mit iOS 26 auch für Third-Party-Anwendungen.

Anthropic now lets Claude app users build, host, and share AI-powered apps directly in Claude via Artifacts, launching in beta on Free, Pro, and Max tiers (Jay Peters/The Verge)
https://www.theverge.com/news/693342/anthropic-claude-ai-apps-artifact

Anthropic now lets you make apps right from its Claude AI chatbot
Anthropic is adding a new feature to its Claude AI chatbot that lets you build AI-powered apps right inside the app. It builds upon Anthropic’s Artifacts feature.

Period relations for Rankin-Selberg convolutions for $\mathrm{GL}(n)\times\mathrm{GL}(n)$
Yubo Jin, Jian-Shu Li, Dongwen Liu, Binyong Sun
https://arxiv.org/abs/2506.20942

Period relations for Rankin-Selberg convolutions for $\mathrm{GL}(n)\times\mathrm{GL}(n)$
In this paper, we study the special values of Rankin-Selberg L-functions as a continuation of [LLS24]. Utilizing the modular symbol approach, we prove the rationality and period relations for critical values of Rankin-Selberg L-functions for $\mathrm{GL}(n)\times\mathrm{GL}(n)$ over any number field that contains a CM field.

Robust and Flexible Microtransit Design: Chance-Constrained Dial-a-Ride Problem with Soft Time Windows
Hongli Li (Purdue University IN, USA), Zengxiang Lei (Purdue University IN, USA), Xinwu Qian (Rice University USA), Satish V. Ukkusuri (Purdue University IN, USA)
https://arxiv.org/abs/2506.20788

Robust and Flexible Microtransit Design: Chance-Constrained Dial-a-Ride Problem with Soft Time Windows
Microtransit offers a promising blend of rideshare flexibility and public transit efficiency. In practice, it faces unanticipated but spatially aligned requests, passengers seeking to join ongoing schedules, leading to underutilized capacity and degraded service if not properly managed. At the same time, it must accommodate diverse passenger needs, from routine errands to time-sensitive trips such as medical appointments. To meet these expectations, incorporating time flexibility is essential. …

Linear codes arising from the point-hyperplane geometry-Part I: the Segre embedding
Ilaria Cardinali, Luca Giuzzi
https://arxiv.org/abs/2506.21309 https://…

Linear codes arising from the point-hyperplane geometry-Part I: the Segre embedding
Let $V$ be a vector space over the finite field $\mathbb{F}_q$ with $q$ elements and $Λ$ be the image of the Segre geometry $\mathrm{PG}(V)\otimes\mathrm{PG}(V^*)$ in $\mathrm{PG}(V\otimes V^*)$. Consider the subvariety $Λ_{1}$ of $Λ$ represented by the pure tensors $x\otimes ξ$ with $x\in V$ and $ξ\in V^*$ such that $ξ(x)=0$. Regarding $Λ_1$ as a projective system of $\mathrm{PG}(V\otimes V^*)$, we study the linear code $\mathcal{C}(Λ_1)$ arising from it. The code $\mathcal{C}(Λ_1)$ i…

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Last week, we continued our #ISE2025 lecture on distributional semantics with the introduction of neural language models (NLMs) and compared them to traditional statistical n-gram models.
Benefits of NLMs:
- Capturing Long-Range Dependencies
- Computational and Statistical Tractability
- Improved Generalisation
- Higher Accuracy
@…

Dynamic Context-Aware Prompt Recommendation for Domain-Specific AI Applications
Xinye Tang, Haijun Zhai, Chaitanya Belwal, Vineeth Thayanithi, Philip Baumann, Yogesh K Roy
https://arxiv.org/abs/2506.20815

Dynamic Context-Aware Prompt Recommendation for Domain-Specific AI Applications
LLM-powered applications are highly susceptible to the quality of user prompts, and crafting high-quality prompts can often be challenging especially for domain-specific applications. This paper presents a novel dynamic context-aware prompt recommendation system for domain-specific AI applications. Our solution combines contextual query analysis, retrieval-augmented knowledge grounding, hierarchical skill organization, and adaptive skill ranking to generate relevant and actionable prompt sugges…

Proto-neutron Stars with Dark Matter Admixture: A Single-Fluid Approach
Adamu Issifu, D\'ebora P. Menezes, Tobias Frederico
https://arxiv.org/abs/2506.21378

Proto-neutron Stars with Dark Matter Admixture: A Single-Fluid Approach
This work investigates the impact of dark matter (DM) on the microscopic and macroscopic properties of proto-neutron stars (PNSs). We employ a single-fluid framework in which DM interacts with ordinary matter (OM) via the Higgs portal and remains in thermal equilibrium through non-gravitational interactions. Using a quasi-static approximation, we analyze the evolution of PNSs during the Kelvin--Helmholtz phase by varying the DM mass while keeping the entropy per baryon and lepton fraction fixed…