Multi-core MCU includes neural networking accelerators for high AI performance

Infineon has announced the launch of the PSOC Edge E84, the latest in its broad PSOC portfolio of microcontrollers, which features hardware-assisted machine learning (ML) acceleration for use in next-generation responsive compute and control applications. 

The PSOC Edge MCUs use the capability of AI to improve end-user experiences by enabling end products to be more intelligent and intuitively usable, lowering the barriers to human-machine interaction and adding contextual awareness. They do so while providing robust privacy and safety protection through embedded Infineon Edge Protect technologies.

The PSOC Edge E84 is based on a power-optimized multi-core architecture. A high-performance block features an Arm^® Cortex^®-M55 CPU core, including Helium DSP support, paired with an Arm Ethos™-U55 neural processing unit (NPU). A low-power block combines a Cortex-M33 CPU paired with the ultra low-power Infineon NNLite hardware accelerator for neural networks in always-on ML and AI applications. PSOC Edge family MCUs feature advanced memory resources, with up to 6 Mbytes of system SRAM and 512 kbytes of non-volatile RRAM memory shared across the high-performance and low-power blocks.

The MCU provides an always-on acoustic activity detection capability which enables the operation of a human-machine interface (HMI) with low active and standby power consumption. It also includes support for advanced graphics, voice, and audio, as well as standard communication and timing peripherals suitable for a variety of consumer and industrial applications.  

Software enablement is based on the ModusToolbox™ development software suite, including integration with the DEEPCRAFT™ Studio AI solution and off-the shelf DEEPCRAFT™ Ready Models. ModusToolbox is a comprehensive collection of multi-platform tools and software libraries which includes board support packages, a peripheral driver library, and middleware libraries.