EDGE

Axelera AI is adding Kudelski Labs’ security IP to its Europa AI chip for secure, high-performance Edge AI processing. It will support, for example, secure activation and real-time threat detection capabilities. Specifically, it has integrated the Kudelski Secure Enclave (KSE3) into its Europa processor unit (AIPU). The system is designed to protect advanced inference workloads within demanding edge environments. Possible ...

Analog Devices has teamed up with Antmicro to train two of ADI’s Cortex-M4 microcontollers to implement AI-at-the-edge. The key is Antmicro’s Visual Studio Code plug-in, which is built on its Kenning machine learning library. “Kenning’s aim is not to bring yet another training or compilation framework for deep learning models,” according to Antmicro. Kenning instead provides “a unified API that ...

Percepio, the Swedish maker of Tracealyzer, has released Percepio Detect, a tool to increase observability of embedded code and Edge devices during system testing. Percepio Detect Optimised for use during testing of RTOS-based systems, it’s aimed at embedded software developers and supports the testing and debugging of embedded code. Specifically, supporting Continuous Integration and Continuous Testing (CI/CT) processes. “While cloud-native ...

Kyocera AVX has introduced a series of solderless wire-to-board removable edge connectors. Called 9169-000, they combine insulation displacement contacts for the wire with beryllium copper compression contacts for board edge pattern. Locating ribs engage with slots on the PCB edge for polarisation against improper insertion, and moulded plastic clips drop into holes in the PCB to improve retention. “It is ...

Edge Impulse has introduced AI software for Arm microcontrollers and Nvidia processors intended to spot previously unseen and untrained anomalies in images, for industrial inspection, medical imaging and logistics, for example. It is based on ‘Gaussian mixture models’ – GMMs. “Neural networks are powerful but have a major drawback: handling unseen data, like defects in a product during manufacturing, is ...

Mouser reflected one of the major themes at Embedded World 2024, intelligence at the edge, and announced it has signed Edge Impulse, the software framework provider for embedded machine learning (ML) applications. Machine learning is implemented at the edge of the network, explained Mouser’s Mark Patrick in order to make decisions very quickly at the [network] edge. [Edge Impulse’s] products ...

Arm has announced its most powerful microcontroller-grade neural processor, which will reach 4Top/s in its maximum configuration and is 20% more power efficient that its previous neural processors. Named Ethos-U85 and configurable with between 128 and 2,048 MACs, it is intended to have enough performance to locally run heavy AI algorithms such as ‘transformers’, as well as convolutional neural networks. ...

Written by Alex Marcham - who apparently coined the term 'infrastructure edge computing' - it's intended to provide an accessible view of the next generation of internet infrastructure.

Edge Control is an Arduino with designed to deploy AI at the edge in remote locations. “Optimised for outdoor environments and easy to place anywhere, it is ideal for precision farming, smart agriculture, and any application requiring intelligent control in isolated locations,” according to Arduino. It has a lot of interfaces (table below) can be expanded with 2G, 3G, CatM1, ...

Aaeon has created a 3.5in sub-compact LGA1200 socket motherboard for Intel 10th Generation (Comet Lake) Core i3, i5 and i7 processors, as well as Pentiums and Celerons. GENE-CML5 supports processors up to 4.4GHz and up to 64Gbyte of DDR4 memory delivering “fast processing speeds on par with desktop systems”, according to the Taiwanese company. “Additionally, the chipset allows the board ...