This efficient and robust model can run on ARM Cortex M0 and up processors, or comparable RISC-V, NPU, DSP, and FPGA devices. Two models are available, one for fixed words and another for …

This efficient and effective model can run on ARM Cortex M4 and up processors, or comparable RISC-V, NPU, DSP, and FPGA devices. This model can be extended to recognize characters of other …

AI has revolutionized audio processing, delivering better performance, new applications, and making it better than DSP-based audio technology for many applications.

This efficient time-series model can run on ARM Cortex M0 and up processors, or comparable RISC-V, NPU, DSP, and FPGA devices. Saving energy usage is a key effort to achieve a sustainable world. …

Advantages and Values to the Customers: More accurate & robust than traditional DSP based solutions Significantly shorten development time compared to conventional deep learning workflow Edge …

There is a rich selection of tiny machine learning (TinyML) applications on diversified IoT processing platforms, such as MCU, NPU, and DSP. Depending on the specific scenario, a customer may …

Cutting-edge AI/ML models, including popular digital signal processing (DSP) blocks and a direct integration with NVIDIA’s Tao toolkit, come standard on Edge Impulse’s platform for faster …