Distributor Solid State Supplies can now supply Silicon Labs’ BG24 and MG24 series of 2.4GHz wireless SoCs for Bluetooth and multiple-protocol operations, respectively.
The low power BG24 and MG24 series support multiple wireless protocols and incorporate PSA Level 3 Secure Vault protection, making the SoCs suitable for smart home, medical and industrial applications.
The 2.4GHz wireless SoCs are claimed to have the industry’s first integrated AI/ML (artificial intelligence / machine learning) accelerators, support for Matter, Zigbee, OpenThread, Bluetooth Low Energy, Bluetooth mesh, proprietary and multi-protocol operation. In addition they have the highest level of industry security certification, said Solid State Supplies, together with low power capabilities and the largest memory and flash capacity in the Silicon Labs portfolio.
There is a new software toolkit designed to allow developers to quickly build and deploy AI and ML algorithms using some of the most popular tool suites like TensorFlow.
Equipped with built-in dedicated AI/ML accelerators (specialised hardware designed to handle calculations in AI/ML implementations), the BG24 and MG24 “represent a huge step forward in the quest to bring the potential of AI and ML to life in real world applications. Their impressive battery life will help to bring AI/ML applications and wireless high performance to battery-powered edge devices,” commented Matt Cook, product group manager at Solid State Supplies.
The single-die BG24 and MG24 SoCs combine a 78MHz Arm Cortex-M33 processor, 2.4GHz radio, 20bit ADC, an optimised combination of flash (up to 1536kB) and RAM (up to 256kB), and an AI/ML hardware accelerator for processing ML algorithms while offloading the Arm Cortex-M33, so applications have more cycles to do other work. They support a range of 2.4GHz wireless IoT protocols. System on Module (SoM) versions will also be available to support lower volume applications.
PSA Level 3-Certified Secure Vault, the highest level of security certification for IoT devices, provides the security needed in products like door locks, medical equipment, and other sensitive deployments at risk from external threats.
The SoCs and development kits are available now. SoM versions are due for release later in 2022.
In addition to natively supporting TensorFlow, Silicon Labs has partnered with AI and ML tools providers, SensiML and Edge Impulse, to ensure that developers have an end-to-end toolchain that simplifies the development of ML models optimised for embedded deployments of wireless applications. Using this AI/ML toolchain with Silicon Labs’s Simplicity Studio and the BG24 and MG24 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.
