Tootfinder

« Et si les livres nous apprenaient Š nous soucier des autres ? »
– « Le chat qui voulait sauver les livres » de Sôsuke Natsukawa, un joli petit roman japonais sur le pouvoir des livres. (Et un chat exceptionel.) #2025reads #BooksofMastodon

Das #Rezept des Tages:
Leberkäse trifft auf bunte Gemüsepfanne! 🍛🥒 Diese schnelle und einfache Mahlzeit kombiniert den herzhaften Geschmack von #Leberkäse mit dem frischen Aroma von #Buttergemüse

Gemüsepfanne mit Leberkäse
Dieses Rezept mit Leberkäse habe ich - glaube ich - mal aus Bayern mitgebracht. Aber der Reis passt irgendwie nicht ins Bild. So richtig kann ich mich leider nicht mehr erinnern, welche meiner Urlaubsbekanntschaften...

Cam Newton doesn't feel Micah Parsons has any leverage in contract talks with Cowboys https://www.si.com/nfl/cowboys/news/micah-parsons-no-leverage-dallas-cowboys-contract-saga-former-nfl-mvp-says

So this is a recent photo of #LiverKing, some weirdo who’s challenged #JoeRogan to a fight to the death for some reason.
Dude’s got issues.

»Crate Layout Best Practices: lib.rs, mod.rs, and src/bin«
Slowly, slowly, I'm learning what Rust uses for what in its coding.
🦀 https://dev.to/sgchris/crate-layout-best-practices-librs-modrs-and-srcbin-4abd

Crate Layout Best Practices: lib.rs, mod.rs, and src/bin
Crate Layout Best Practices: lib.rs, mod.rs, and src/bin Rust has rapidly become one of...

Modern applications require search capabilities that go beyond basic text matching. They must be fast, accurate, personalised and context-aware. At this year's Berlin Buzzwords, Saurabh Singh will demonstrate how OpenSearch’s latest AI/ML enhancements and engine improvements enable organisations to build intelligent, scalable search experiences that meet these evolving needs.
Learn more:

From Search to Insight: Leveraging OpenSearch for Scalable, AI-Driven Search Experiences
Observability, log analytics, GenAI systems, and RAG pipelines must query massive volumes of semantic embeddings to retrieve relevant content instantly. Today’s search systems often fall short in handling high-dimensional vector data and similarity search. OpenSearch 3.0 brings significant architectural improvements to address these challenges. Integrating Apache Lucene 10 and JVM 21, the platform delivers 20% faster queries than its 2.x predecessor and 10× the throughput of 1.x versions. Ne…

Leveraging LLMs for Automated Translation of Legacy Code: A Case Study on PL/SQL to Java Transformation
Lola Solovyeva, Eduardo Carneiro Oliveira, Shiyu Fan, Alper Tuncay, Shamil Gareev, Andrea Capiluppi
https://arxiv.org/abs/2508.19663

Leveraging LLMs for Automated Translation of Legacy Code: A Case Study on PL/SQL to Java Transformation
The VT legacy system, comprising approximately 2.5 million lines of PL/SQL code, lacks consistent documentation and automated tests, posing significant challenges for refactoring and modernisation. This study investigates the feasibility of leveraging large language models (LLMs) to assist in translating PL/SQL code into Java for the modernised "VTF3" system. By leveraging a dataset comprising 10 PL/SQL-to-Java code pairs and 15 Java classes, which collectively established a domain model for th…

🇺🇦 #NowPlaying on KEXP's #MiddayShow
The Little Ones:
🎵 Lovers Who Uncover
#TheLittleOnes
https://camplimbo.bandcamp.com/track/crystal-castles-vs-the-little-ones-lovers-who-uncover-baile-edit
https://open.spotify.com/track/3ndPkapoiAnczV9yK7ruCe

BEV-LLM: Leveraging Multimodal BEV Maps for Scene Captioning in Autonomous Driving
Felix Brandstaetter, Erik Schuetz, Katharina Winter, Fabian Flohr
https://arxiv.org/abs/2507.19370

BEV-LLM: Leveraging Multimodal BEV Maps for Scene Captioning in Autonomous Driving
Autonomous driving technology has the potential to transform transportation, but its wide adoption depends on the development of interpretable and transparent decision-making systems. Scene captioning, which generates natural language descriptions of the driving environment, plays a crucial role in enhancing transparency, safety, and human-AI interaction. We introduce BEV-LLM, a lightweight model for 3D captioning of autonomous driving scenes. BEV-LLM leverages BEVFusion to combine 3D LiDAR poi…

Australian Book Lovers
Great Australian Pods Podcast Directory: #GreatAusPods