Silicon Labs offers the BG24 and MG24 families of 2.4GHz wireless SoCs for Bluetooth and Multiple-protocol operations and a new software toolkit. This new co-optimised hardware and software platform assists in bringing AI/ML applications and wireless high performance to battery-powered edge devices. Matter-ready, the ultra-low-power families support multiple wireless protocols and include PSA Level 3 Secure Vault protection, excellent for diverse smart home, medical and industrial applications. The company solutions comprise two new families of 2.4GHz wireless SoCs, providing the industry's first integrated AI/ML accelerators, support for Matter, OpenThread, Zigbee, Bluetooth Low Energy, Bluetooth mesh, proprietary and multi-protocol operation, the highest level of industry security certification, ultra-low power abilities and the largest memory and flash capacity in the company's portfolio. Also offered is a new software toolkit developed to enable developers to quickly build and deploy AI and machine learning algorithms employing some of the most popular tool suites such as TensorFlow.

First Integrated AI/ML Acceleration Improves Performance and Energy Efficiency IoT product designers see the tremendous potential of AI and machine learning to bring even greater intelligence to edge applications like home security systems, wearable medical monitors, sensors monitoring commercial facilities and industrial equipment, and more. But today, those considering deploying AI or machine learning at the edge are faced with steep penalties in performance and energy use that may outweigh the benefits. The BG24 and MG24 alleviate those penalties as the first ultra-low powered devices with dedicated AI/ML accelerators built-in. This specialized hardware is designed to handle complex calculations quickly and efficiently, with internal testing showing up to a 4x improvement in performance along with up to a 6x improvement in energy efficiency. Because the ML calculations are happening on the local device rather than in the cloud, network latency is eliminated for faster decision-making and actions.