Abstract: Edge collaboration has emerged as a promising paradigm for Internet of Things (IoT) applications. However, achieving efficient cooperation among these server nodes still faces several ...

Here’s a look at six wireless IoT development kits that enhance multiprotocol design, from BLE and Zigbee to LoRa and Thread.

The shift toward on-device intelligence is being driven by latency, privacy, and cost concerns that companies are confronting ...

ZEDEDA Edge Kubernetes App Flows were designed in collaboration with ZEDEDA customers in manufacturing, energy, transportation, and retail to improve the productivity of edge application developers.

Openness across software, standards, and silicon is critical for ensuring interoperability, flexibility, and growth.

There are benefits and challenges of processing AI workloads on-device to enhance performance, reduce costs, and ensure data ...

Abstract: Pre-eclampsia, a leading cause of maternal-fetal mortality, demands urgent innovation in prenatal monitoring. This paper presents an IoT-based wearable system integrating maternal (PPG, ...

EdgeAI builds the decentralized intelligence layer that allows AI to operate and learn where data is created — at the edge.

ASUS announced its participation at Embedded World North America 2025, taking place on November 4-6, 2025 at the Anaheim Convention Center. As a leader in intelligent edge computing and industrial ...

Authored by embedded ML specialists with extensive experience in ESP32 voice recognition architecture, TinyML optimisation, ...

In development of practical AI solutions, the locus of innovation is moving to where the talent is. And India, with its ...

BrainChip Holding s Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), a global leader in ultra-low power, fully digital, event-based neuromorphic AI, today announced the launch of its AKD1500, a neuromorphic ...