Join SensiML on October 20 & 21 at the ST Developers Conference, this year being held entirely online. This year SensiML is pleased to be amongst the lead event sponsors and will be delivering an on-demand session presentation as well as demoing SensiML Analytics Toolkit in our virtual booth. Event registration is free and open now. SensiML will be presenting throughout the two-day event. We hope to “see” you there!
SensiML Adds Support for STMicroelectronics’ SensorTile.Box
This month SensiML is pleased to announce SensiML Analytics Toolkit now provides native support for STMicroelectronics’ SensorTile.Box Development Kit for wireless IoT and wearable sensor applications. SensiML’s support for SensorTile.Box includes our most sophisticated MQTT-based device data collection firmware yet made available in open source for customers to extend and modify as necessary to suit their particular application needs.
SensiML and ARC Health Group on COVID-19 AI Screening Tech: Panelists Present Details at ACG Silicon Valley
This week SensiML joined a distinguished panel of healthcare, technology, and academic leaders to overview its contributions to towards an innovative COVID-19 screening technology for deployment later this year.
Nasdaq Helps SensiML Spread the Word On Our COVID-19 Initiative
As we seek to spread the word on our COVID-19 AI data collection initiative, Nasdaq generously offered to promote our initiative on the “Nasdaq Tower”, a giant multi-story electronic display in Times Square in New York City. Those interested in contributing anonymous cough sound samples on our collection site https://sensiml.com/covid-19 can help build sensor insight we will make available as open source dataset and an edge AI screening solution later this year.
SensiML CES Demos: Rapid Development of Edge AI Sensor Algorithms for Sports and Ergonomic Wearables
Today kicked off a week of demo meetings at CES showcasing how SensiMLTM Analytics Toolkit can make quick work of algorithm development for IoT sensing wearable devices. Our demo suite showed first-hand the data collection, AutoML code generation, and testing of two different wearable applications that were built in under a week. Demo #1 –