Machine learning typically operates on large amounts of data which often has to be moved back and forth between processing nodes and storage. This generates bottlenecks and costs in terms of both power and bandwidth. One trend...
Due to Antmicro’s focus on the development of latest generation edge AI processing technologies, many of the company’s projects involve vision, video processing, and AI/AR, i.e. applications that push the boundaries of data...
Many of Antmicro’s commercial projects are based on the company’s open hardware boards for the NVIDIA Jetson ecosystem, with the NVIDIA Jetson Nano/Xavier NX baseboard leading the way as the most notable example. The most recent...
Antmicro’s Kenning framework, introduced during our work on the VEDLIoT edge AI research project, is being used in various local AI processing projects to create deployment flows and runtimes for Deep Neural Network applications...
When building edge AI solutions for its customers, Antmicro usually creates dedicated operating system images, tailored for a customer’s particular product to ensure better security and control. Since such systems are often...
The field-deployed device systems Antmicro helps its customers build increasingly often use neural networks for tasks such as understanding voice commands, detecting, tracking and telling apart objects in video, or recognizing...
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