Silicon Labs and Edge Impulse Partner to Accelerate Machine Learning Applications
January 27, 2021 at 06:45 pm
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Silicon Labs and Edge Impulse announced a collaboration to enable rapid development and deployment of machine learning (ML) on Silicon Labs EFR32 wireless SoCs and EFM32 microcontrollers (MCUs). Implementation of the Edge Impulse tool enables complex motion detection, sound recognition and image classification on low-power, memory-constrained, and remote edge devices. Studies have shown that 87% of data science projects never reach full production, often due to artificial intelligence/ML implementation challenges. This new collaboration between Silicon Labs and Edge Impulse enables device developers to generate and export the ML models directly to the device or Simplicity Studio, the integrated development environment from Silicon Labs, with the click of a button, implementing machine learning in minutes. Edge Impulse allows developers to quickly create neural networks across a wide range of Silicon Labs products for free, with integrated deployment to Simplicity Studio. By embedding TinyML models on EFR32 and EFM32 devices such as MG12, MG21 and GG11, the solution enables: Machine learning; Real-world sensor data collection and storage; Advanced signal processing and data feature extraction; Deep Neural Network (DNN) model training; Deployment of optimized embedded code; The Edge Impulse tool also leverages Edge Impulse's Edge Optimized Neural (EON™) technology to optimize memory use and inference time.
Silicon Laboratories Inc. is engaged in secure, intelligent wireless technology. The Companyâs integrated hardware and software platform, intuitive development tools, ecosystem, and support help customers build advanced industrial, commercial, home, and life applications. It enables developers to solve complex wireless challenges throughout the product lifecycle. Its platform, purpose-built for the Internet of Things (IoT), helps customers create secure, intelligent, connected devices. Its semiconductor devices leverage standard complementary metal oxide semiconductor (CMOS), a widely available process technology. It provides analog-intensive, mixed-signal solutions for use in a variety of electronic products in a range of applications for the IoT. It has built a wireless development platform and product portfolio for the IoT based on Bluetooth, sub-GHz technologies, Wi - SUN, Thread, Wi-Fi, Zigbee and Z-Wave. The Company offers wireless microcontrollers and sensor products.