Tailoring neural network models to fit on resource-constrained devices is a multi-criterion optimization problem, difficult or impossible to solve manually. Antmicro has been working with Analog Devices, Inc (ADI) to add an...
Creating Machine Learning models for deployment on constrained devices requires a considerable number of manual tweaks. Developers need to take into account the size and compute constraints of the target platform to adjust...
NVIDIA’s recently announced “Super” update - a software enhancement enabling additional power modes for the Jetson SoCs - is great news for Antmicro’s customers building powerful edge devices with a small footprint using our...
OPEN CLOUD SYSTEMS, OPEN SOFTWARE LIBRARIES, OPEN SOURCE TOOLS
Based on a number of exciting use cases for new and existing customers, we’ve been steadily expanding the functionality of Remote Device Fleet Manager (RDFM) - our open source Over-the-Air update and fleet management framework...
Kenning and Kenning Zephyr Runtime enable easy, iterative development of ML models deployed on Zephyr RTOS using various AI inference libraries. When testing models on a device with Kenning, switching between models is usually...
While the advent of Large Language Models has brought significant leaps in many areas including text analysis and computer vision, translating to benefits across a variety of industries, the size of the models can be a limitation...
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