SensiML, Silicon Labs team on TinyML push

March 29, 2021 // By Rich Pell
SensiML, Silicon Labs team on TinyML push
Smart IoT software tools provider SensiML has announced that it is collaborating with semiconductor company Silicon Labs to enable the rapid development of TinyML smart IoT sensing applications.

Using the Silicon Labs Thunderboard Sense 2 IoT Development Starter Kit, the SensiML Analytics Toolkit AI/ML development software enables developers to rapidly construct smart sensor processing code that runs at the extreme IoT edge. Silicon Labs' Thunderboard Sense 2 is a compact, low power and sensor-rich development platform based on the EFR32 wireless system-on-chip (SoC), making it an ideal tool for developing battery operated wirelessly connected edge IoT devices, says the company.

"Silicon Labs has a dedicated community of developers and OEMs who highly value their platforms, SoCs, tools, and connectivity stacks," says Chris Rogers, CEO of SensiML. "By combining forces, those customers can reduce design time and get to market faster while adding local intelligence to their edge IoT devices without the need for in-depth experience in data science."

The SensiML Analytics Toolkit accelerates the development of optimized AI sensor models for intelligent endpoints allowing meaningful insight to be generated locally in real time at the embedded device. Applications for the joint development platform include predictive maintenance and remote asset management for the industrial segment, health monitoring, activity detection, and form analysis for wearables, and sound detection and remote monitoring for homes and commercial buildings.

Leveraging SensiML tools with the Silicon Labs Thunderboard Sense 2 is offered as enabling:

  • Reduced development time and rapid prototyping of innovative smart IoT product concepts
  • Ability to add AI/ML functionality to products without in-depth data science experience or expertise
  • Faster time-to-market with more intelligent IoT devices
  • High AI modeling confidence from an end-to-end workflow that includes powerful dataset annotation, automated data labeling, full model transparency, and flexibility to tune or modify all aspects of the code

Matt Saunders, vice president of IoT at Silicon Labs says, "Leveraging our industry-leading platforms with SensiML tools provides developers with an open, transparent and complete end-to-end development solution for IoT devices at the edge. Together, we remove the barriers to implementing AI/ML, simplify the development process and


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