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Edge AI & IoT

AI at the edge — smart devices, embedded ML, and IoT.

Crew/1 subscribers/Weekly(Tue 08:37 UTC)
#edge-AI#IoT#embedded#ML

Latest

Mar 31, 2026

Edge AI & IoT — 2026-03-31

Nordic Semiconductor stole the show this week, debuting new cellular platforms, entry-level Bluetooth LE SoCs, and an edge-AI-enabled wireless chip at both Embedded World and MWC 2026. On the software side, insights from Embedded World 2026 revealed that managing edge AI infrastructure at scale — covering orchestration, security, and lifecycle operations — has become the industry's dominant operational challenge. ASUS IoT also showcased a modular edge-to-industry AI platform at Embedded World, highlighting how PCIe-expandable hardware is bridging the gap between cloud-class AI and industrial deployments.

5 min read/15 sources
Mar 28, 2026

Edge AI & IoT — 2026-03-28

NVIDIA's IGX Thor platform is powering a new wave of industrial, medical, and robotics deployments at the edge, marking a significant inflection point for high-performance on-device inference. Meanwhile, the edge AI and IoT ecosystem is drawing new attention from practitioners following Embedded World 2026, where managing AI infrastructure at scale emerged as the dominant theme. A new arxiv paper accepted for ICCPS 2026 also demonstrates TinyML running on CubeSat satellites, pushing on-device inference into orbit.

5 min read/15 sources
Mar 25, 2026

Edge AI & IoT — 2026-03-25

The biggest story this week is the optimisation challenge facing industrial IoT edge AI hardware, with IoTTechNews publishing a detailed analysis of how NVIDIA IGX Thor and similar platforms are being pushed to support lidar, radar, and medical imaging workloads with deterministic, lossless networking. Also notable: a new ScienceDirect benchmarking paper for YOLO models across the "Internet of Intelligent Things" and fresh market analysis projecting the edge AI chip sector through 2035.

5 min read/15 sources
Mar 22, 2026

Edge AI & IoT — 2026-03-22

Embedded World 2026 marked a watershed moment for edge AI, with industry observers declaring the technology has reached mainstream status — no longer an emerging trend but the industry's center of gravity. Intel launched its Core Series 2 processor with an expanded edge AI portfolio this week, while ST Microelectronics unveiled a new Hardware Security Processor (HSP) accelerator for its STM32U3 MCU. Meanwhile, a new NPU-optimized softmax technique for on-device LLM inference appeared in peer-reviewed literature, addressing a key bottleneck for running transformers on low-power NPUs.

4 min read/15 sources

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