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#iot

Automating Wi-Fi setup testing on the ESP32

Hacker News Top ↗ · 22h ago Cached

Groundrun 的这篇博客展示了如何在 ESP32-C6 上自动化 Wi-Fi 配网测试,覆盖 BLE、Soft AP、SmartConfig、Captive Portal 和 WPS 五种方式,并用 Claude 生成配套的 Android 应用与固件代码。

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#iot

Gladys Assistant 5

Product Hunt ↗ · 3d ago Cached

Gladys Assistant 5 is a free, open-source smart home platform that runs on your own hardware, offering privacy, self-hosting, and support for protocols like Zigbee, Z-Wave, Matter with over 90 community integrations.

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#iot

@shaneparrish: The biggest problem with these is that once you have one, you want it in EVERY bed you sleep in.

X AI KOLs Following ↗ · 2026-09-23 Cached

Matteo Franceschetti announces the launch of Pod 6, a sixth-generation intelligent sleep system with a smaller Hub and enhanced sensors for improved accuracy.

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#iot

Samsung accidentally freezes its smart fridges with a software update

Hacker News Top ↗ · 2026-09-23

Samsung's software update accidentally froze its smart fridges, causing operational issues for users.

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#iot

@lidangzzz: I think, the most suitable scenarios for jev, besides quant trading, internet public opinion monitoring and censorship,…

X AI KOLs Timeline ↗ · 2026-09-20

The author predicts that 'jev' will see widespread adoption in low-latency, real-time embedded scenarios like IoT, AIoT, smart homes, and industrial control within six months.

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#iot

Opinion Dynamics-based Coalition Formation for Federated Learning in Heterogeneous IoT Systems

arXiv cs.LG ↗ · 2026-09-18 Cached

The paper introduces a Hegselmann-Krause opinion dynamics approach for coalition formation in federated learning to address data heterogeneity in IoT systems, achieving significant error reduction in water consumption forecasting.

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#iot

LLM-Enhanced Multi-Agent Reinforcement Learning for Unified Electric Vehicles-Charging Station-Grid Optimization in Public Charging Systems

arXiv cs.AI ↗ · 2026-09-15 Cached

This paper proposes an LLM-enhanced multi-agent reinforcement learning framework to simultaneously optimize electric vehicle charging scheduling, station profitability, and grid stability, using LLMs for feature selection and adaptive weighting, outperforming state-of-the-art methods with reduced training time.

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#iot

Best Water Leak Detectors (2026): Moen, Phyn, TP-Link

Wired ↗ · 2026-09-06 Cached

Wired reviews and recommends the best smart water leak detectors for 2026, highlighting budget picks like the X-Sense SWS0A41 and the YoLink sensor kit for large properties.

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#iot

Aqara goes all in on smart lighting

The Verge ↗ · 2026-09-04 Cached

Aqara has unveiled a new range of smart lighting products at IFA, including floor lamps, outdoor lights, and updated LED strips, all compatible with Matter through Thread connectivity.

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#iot

TinyGo 0.42 - Recover Is Real

Lobsters Hottest ↗ · 2026-09-02 Cached

TinyGo 0.42 introduces recoverable panics, Go 1.27 support, UEFI targets, and expanded hardware support for ESP32 and STM32, enhancing its capabilities for embedded systems development.

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#iot

Think twice before installing this device promising free movies

Ars Technica ↗ · 2026-08-31 Cached

Security researchers discover critical vulnerabilities in media streaming devices like SuperBox, where open ADB ports allow silent installation of malicious apps, enabling proxy network infections and home network compromises.

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#iot

M5Stack Launches PaperMono

Hacker News Top ↗ · 2026-08-27 Cached

M5Stack has launched PaperMono, a compact E-Ink development terminal powered by ESP32-S3, designed for low-power IoT projects with features like touch display, NFC, and LoRa connectivity.

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#iot

Birdfy Nest Duo Review: My Own Private Nature Documentary

Wired ↗ · 2026-08-24 Cached

The article reviews the Birdfy Nest Duo smart birdhouse, which features dual cameras and environmental sensors to monitor bird nesting activities in real-time via a smartphone app.

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#iot

Weekly Update 518: IoT Doorlock Nirvana with UniFi

Troy Hunt ↗ · 2026-08-24 Cached

Troy Hunt shares his method for implementing an IoT door lock system using UniFi, highlighting key principles like main power, fail-secure design, local control, and manual override for residential settings.

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#iot

The first search engine for Internet-connected devices

Hacker News Top ↗ · 2026-08-24 Cached

Shodan is the first search engine for Internet-connected devices, enabling users to discover and monitor IoT devices for security and intelligence with developer APIs.

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#iot

Remotely Unlocking Electric Scooters

Hacker News Top ↗ · 2026-08-21 Cached

A security researcher details the process of remotely unlocking electric scooters by performing reconnaissance on the company's web infrastructure and exploiting vulnerabilities in WordPress and an operations panel.

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#iot

Performance Drift Detection in Machine Learning as a Service (MLaaS) for IoT Environments

arXiv cs.LG ↗ · 2026-08-20 Cached

This paper presents a novel framework for detecting performance drift in Machine Learning as a Service (MLaaS) within IoT environments, demonstrating significant accuracy improvements over baseline methods through adaptive monitoring.

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#iot

Proactive Road Safety Intervention in Australia: Predicting Risky Driving Hotspots from Connected Vehicle Data

arXiv cs.LG ↗ · 2026-08-19 Cached

This study uses connected vehicle telemetry data from Sydney to predict high-risk driving hotspots, benchmarking machine learning and time-series models for proactive road safety interventions.

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#iot

@Xiaomi: Xiaomi maintained its global Top 3 position in smartphones for 24 consecutive quarters, with global ASP hitting a recor…

X AI KOLs Timeline ↗ · 2026-08-18 Cached

Xiaomi has maintained its global Top 3 position in smartphones for 24 consecutive quarters, with record global ASP and strong performance in IoT products and high-priced smartphones in China.

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#iot

Multi-perspective Imbalance-Conscious 6G Beamforming Optimization and Performance

arXiv cs.LG ↗ · 2026-08-14 Cached

This paper presents a systematic machine learning study of 6G-IoT beamforming optimization, comparing network, environmental, device, and vision feature groups for predictive power, and applying clustering methods to enhance performance.

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