# DAB Published articles for DAB. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Bloatware in Aftermarket Auto Parts DevFeed: [Bloatware in Aftermarket Auto Parts]() Original publisher: [Read original article]() Author: Bruce Schneier Published: 2026-10-30T15:20:02Z Content type: news Language: en Sources: [Schneier on Security]() Topics: [Android Security](), [WebView](), [Web]() Tags: [adobe](), [ai](), [amazon](), [android](), [baidu](), [call](), [cars](), [claude](), [dab](), [internet-of-things](), [iot](), [pdfs](), [power](), [radio](), [reverse-engineering](), [smart-tv](), [software](), [spyware](), [system](), [uncategorized](), [voice-assistant](), [webview]() ### AI overview A Civic owner used Claude to examine a cheap Amazon aftermarket head unit and found several preinstalled apps: a voice assistant using Android WebView, Baidu location services, a call recorder, a DAB radio client, and Adobe Acrobat. The voice assistant reportedly consumed about a third of the device's processing power even while idle. The excerpt presents this as an example of software and security concerns in aftermarket automotive electronics, and notes that AI helped an individual reverse-engineer the device. ### Source excerpt This story is interesting: One Civic owner purchased a cheap aftermarket head unit off Amazon, and decided to have Claude work its magic on it, like it would a smart TV. What was reportedly discovered isn't surprising, but is worth knowing about. Among the pre-installed bloatware--or spyware, if you're being less charitable--was a voice assistant equipped with WebView, an Android system component that lets apps display content off the web. This apparently always used about a third of processing power, even while idle, which isn't great. There were also Baidu location services, a call recorder (!), a DAB radio client that is pretty much useless in the U.S., and Adobe Acrobat, presumably so your passenger can entertain themselves with PDFs on the go... ## From Natural Language to Real Schematics: An Automated Workflow for Power Electronics Schematic Synthesis DevFeed: [From Natural Language to Real Schematics: An Automated Workflow for Power Electronics Schematic Synthesis]() Original publisher: [Read original article]() Author: Bowen Su, Huan Chen, Jiahua Ying, Ran Ou, Weilong Chen, Li Xue, Kai Sun Published: 2026-10-30T04:00:00Z Content type: article Language: en Sources: [arXiv: Artificial Intelligence]() Topics: [kicad](), [Large Language Model](), [Hallucination detection]() Tags: [apis](), [automated](), [boost](), [circuit](), [circuit-simulation](), [component](), [connectivity](), [cs-ai](), [dab](), [datasheets](), [design](), [design-automation](), [designing](), [eda](), [electronics](), [engineering](), [integration](), [natural-language](), [power](), [synthesis](), [workflow]() ### AI overview The proposed Bounded Dual-Loop framework turns natural-language power-converter requirements into editable KiCad schematics and manufacturing deliverables. It combines topology synthesis, component selection based on distributor APIs and OEM datasheets, ngspice transient simulation with stress feedback, and KiCad netlist round-trip checks. In two case studies--a Buck converter and an isolated Dual-Active Bridge--the authors report higher component verification coverage (22.2 to 98.6), nominal value consistency (0 to 97.7), and SPICE pass rates (0 to 100) than a Vanilla LLM baseline. These are reported results from the described cases; the excerpt does not establish broader performance. ### Source excerpt arXiv:2610.38201v1 Announce Type: new Abstract: Designing power electronics converters traditionally requires intensive human expertise across topology sizing, commercial component selection, circuit simulation verification, and schematic drafting. While Large Language Models (LLMs) show promise in electronic design automation (EDA), applying standalone LLMs directly to board-level power electronics schematic synthesis suffers from severe engineering hallucinations, including inaccurate analytical sizing, fabricated or mismatched component part numbers, violated voltage derating margins, and broken topological connectivity. In this paper, we propose a Bounded Dual-Loop Automated Schematic Synthesis Framework that translates natural language specifications into verified, editable KiCad schematics and manufacturing deliverables. Our workflow integrates six stages across three functional columns: (1) requirement parsing and knowledge-driven power stage synthesis covering non-isolated (Buck, Boost) and isolated/resonant (Flyback, DAB, half-bridge LLC) topologies; (2) contract- and evidence-coordinated component selection grounded in distributor APIs and OEM datasheets, coupled with closed-loop ngspice transient verification and stress feedback; and (3) modular control hardware integration and multi-format deliverable generation featuring native KiCad netlist round-trip verification. End-to-end case studies on a 24-36V to 12V,2A Buck converter (29 positions, 83 verified terminals) and an isolated 48V to 24V, 0.5A, Dual-Active Bridge (DAB) converter (87 positions, 341 verified terminals), alongside comparative evaluations against a Vanilla LLM baseline, demonstrate that our framework improves component verification coverage from 22.2 to 98.6, nominal value consistency from 0 to 97.7, and SPICE simulation pass rates from 0 to 100. ## Data API builder 2.1.5: JSON and Vector Data Type Support, and More DevFeed: [Data API builder 2.1.5: JSON and Vector Data Type Support, and More]() Original publisher: [Read original article]() Author: Carlos Robles, Aniruddh Munde, Matt Hyon Published: 2026-10-02T01:10:52Z Content type: release Language: en Sources: [Azure SQL Dev Corner]() Topics: [API](), [JSON](), [vector embeddings in AI](), [Cryptography](), [REST API]() Tags: [agent](), [api](), [authorization](), [azure](), [azure-sql](), [azure-sql-database](), [dab](), [data-api-builder](), [graphql](), [json](), [net](), [net-10](), [release](), [rest](), [sql](), [sql-json](), [vector](), [vs-code](), [vscode-mssql]() ### AI overview Data API builder 2.1.5 adds REST and GraphQL support for SQL Server `json` and `vector` columns, and introduces an embeddable .NET NuGet library. The release also hardens its MCP endpoint with origin controls and permission checks, updates the engine to .NET 10, and includes security, reliability, and platform improvements. ### Source excerpt Data API builder (DAB) 2.1.5 is now available as a stable release, and it is about meeting modern data where it lives: documents next to rows, embeddings next to both. This release brings native support for the SQL json and vector data types to the REST and GraphQL endpoints, so the same entities that serve [...] The post Data API builder 2.1.5: JSON and Vector Data Type Support, and More appeared first on Azure SQL Dev Corner.