Page 2 - Simplicity Studio News Today

First silicon maker to integrate mikroSDK Click drivers for peripheral add-on Click boards into its own software environment MikroElektronika (MIKROE), the embedded solutions company that dramatically

/PRNewswire/ -- SparkFun Electronics® and Silicon Labs® announce the release of the Thing Plus Matter MGM240P Board – a development board that supports...

/PRNewswire/ -- Silicon Labs, the leader in secure, intelligent wireless technology for a more connected world, today announced a slate of new products that...

Leader in IoT extends its portfolio for Matter, Wi-SUN, Amazon Sidewalk, and Wi-Fi 6 AUSTIN, Texas, Sept. 13, 2022 /PRNewswire/ -- Silicon Labs, the leader in secure, intelligent wireless technology...

/PRNewswire/ -- Laird Connectivity, a global leader in wireless technology, today announced a major addition to its Bluetooth Solutions through a development...

/PRNewswire/ -- Silicon Labs, a leader in secure, intelligent wireless technology for a more connected world, today announced the BG24 and MG24 families of 2.4...

/PRNewswire/ -- Silicon Labs, a leader in secure, intelligent wireless technology for a more connected world, today announced the BG24 and MG24 families of 2.4...

Silicon Labs has introduced the BG24 and MG24 families of 2.4 GHz wireless SoCs for Bluetooth and Multiple-protocol operations, respectively, along with a new software toolkit.

A Deep Dive on Thunderboard Sense 2 4 days ago Sensors for a Song Huge growth in the smartphone market has had the side effect of dramatically lowering the cost and shrinking the size of the sensors used those in those phones. Several chip vendors have come out with small development boards containing a variety of these tiny, low-cost sensors. In this article, Brian takes a close look at one such solution: the Thunderboard Sense 2 from Silicon Labs. Topics Discussed How have smartphones benefit...

Silicon Labs and Edge Impulse look to accelerate ML applications Silicon Labs and Edge Impulse, a development platform for machine learning on edge devices, are collaborating on the rapid development and deployment of machine learning (ML) on Silicon Labs EFR32 wireless SoCs and EFM32 microcontrollers (MCUs). Implementation of the Edge Impulse tool will enable complex motion detection, sound recognition and image classification on low-power, memory-constrained, and remot...