Silicon Labs has launched the BG24 and MG24 families of 2.4 GHz wireless SoCs for Bluetooth and Multiple-protocol operations respectively. It has also launched a new software toolkit to go with the new product families.

This new co-optimised hardware and software platform is designed to help bring AI/ML applications and wireless high performance to battery-powered edge devices.

The low-power BG24 and MG24 families support multiple wireless protocols and incorporate PSA Level 3 Secure Vault protection.

The two families of 2.4 GHz wireless SoCs feature the integrated AI/ML accelerators, support for Matter, Zigbee, OpenThread, Bluetooth Low Energy, Bluetooth mesh, proprietary and multi-protocol operation, as well as industry security certification, ultra-low power capabilities and the largest memory and flash capacity in the Silicon Labs portfolio.

The new software toolkit is designed to allow developers to quickly build and deploy AI and machine learning algorithms using some of the most popular tool suites like TensorFlow.

The BG24 and MG24 families also have the largest Flash and random access memory (RAM) capacities in the Silicon Labs portfolio. This means that the device can evolve for multi-protocol support, Matter, and trained ML algorithms for large datasets. PSA Level 3-Certified Secure VaultTM, the highest level of security certification for IoT devices, provides the security needed in products like door locks, medical equipment, and other sensitive deployments where hardening the device from external threats is paramount.   

In addition to natively supporting TensorFlow, Silicon Labs has partnered with AI and ML tools providers, such as SensiML and Edge Impulse, to ensure that developers have an end-to-end toolchain that simplifies the development of machine learning models optimised for embedded deployments of wireless applications. Using this new AI/ML toolchain with Silicon Labs’s Simplicity Studio and the BG24 and MG24 families of SoCs, developers can create applications that draw information from various connected devices, all communicating with each other using Matter to then make intelligent machine learning-driven decisions.

More than 40 companies representing various industries and applications have begun developing and testing the new platform solution in a closed Alpha programme.

The single-die BG24 and MG24 SoCs combine a 78 MHz ARM Cortex-M33 processor, high-performance 2.4 GHz radio, industry-leading 20-bit ADC, an optimised combination of Flash (up to 1536 kB) and RAM (up to 256 kB), and an AI/ML hardware accelerator for processing machine learning algorithms while offloading the ARM Cortex-M33, so applications have more cycles to do other work. 

“The BG24 and MG24 wireless SoCs represent an awesome combination of industry capabilities including broad wireless multiprotocol support, battery life, machine learning, and security for IoT Edge applications,” said Matt Johnson, CEO of Silicon Labs.