AMD embedded processor based Computer-on-Modules make Artificial Intelligence scalable for medical imaging devices.
Medical imaging vendors want to improve their services for medical professionals by adding Artificial Intelligence (AI) and Augmented Reality (AR) to their devices. For small form factor devices, AMD embedded processor based Computer-on-Modules are a good choice to balance the performance needs of their AI inference engines under space and power restricted conditions.
Edge AI is booming, and STMicroelectronics is leading the way with the STM32N6 series—powerful, energy-efficient MCUs with built-in NPUs, AI-ready software tools, and robust security...
We take a look at a Discovery kit with an STM32N657X0 MCU from STMicroelectronics. It highlights the performance, efficiency, and versatility of the MCU in edge AI applications...
STM32MP25 application processors offer dual Cortex-A35 cores, a neural processing unit (NPU) with 1.35 TOPS, and full HD video support. They provide edge AI acceleration, advanced...
Learn how DigiKey’s powerful API tools can automate your procurement process and safeguard against supply chain disruptions. Don’t sleep on this game-changing webinar—register...
