Arrow Electronics is strengthening support for customers seeking to accelerate their embedded applications with artificial intelligence and machine learning by launching Arrow Edge AI engineering services. The resources include engineering consultancy, technical training, design services, ready-to-use software, and a curated selection of vendor-specific and independent tools.
Embedded
SoM by Variscite brings machine learning to compact, cost-optimised, rugged edge devices
Variscite has announced the newest member of the DART Pin2Pin family for machine learning on edge devices for markets like industrial, IoT, smart devices, and wearables.
ST extends edge-AI sensor family with inertial module for intensive movement analysis
The LSM6DSV32X 6-axis inertial module (IMU) from ST has a large accelerometer full-scale range of 32g and 4000 degrees-per-second (dps) gyroscope to measure intensive movements and impacts, including freefall height estimation. Ready to drive future generations of edge-AI applications, the new sensor device enables extra features and longer battery runtime in consumer wearables, asset trackers, and impact and fall alarms for workers.
Ceva launches multi-protocol wireless platform IP family to accelerate enhanced connectivity
Ceva has launched Ceva-Waves Links, a new family of multi-protocol wireless platform IPs. The integrated offering supports the latest wireless standards to address the surging demand for connectivity-rich chips targeting Smart Edge devices in the consumer IoT, Industrial, automotive, and personal computing markets. These IPs include Wi-Fi, Bluetooth, Ultra-Wideband (UWB), and IEEE 802.15.4 (for Thread / Zigbee / Matter), to offer a range of qualified, easy-to-integrate, multi-protocol wireless communications subsystems, each featuring optimised co-existence schemes and adapted to various radios and configurations.
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