Webinar tutorial series discussing a variety of topics related to embedded IoT development, TinyML and AI at the edge, sensor data processing, and the application of QuickLogic QORC hardware and SensiML Analytics Toolkit.
Read MoreJoin Us at the TinyML Summit
SensiML will be presenting on Thursday, March 25th at 12 noon. We will cover how to build smart IoT products with production-quality AI tools.
Read MoreUsing Machine Learning to Tackle Climate Change:
A HacksterIO Contest
Climate change: A huge challenge forcing us all to be smarter about how we utilize our planet’s resources. At SensiML we’re all about smarter, which is why we’re teaming up with QuickLogic and Hackster.io to create the “Challenge Climate Change” contest with over $70k in prizes. So do some good, learn about edge AI, and maybe win big!
Read MoreVisit Us at the ST Developers Conference 2020:
October 20th and 21st – An Online Event
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!
Read MoreUPDATE:
SensiML Integrates Google’s TensorFlow Lite for Microcontrollers
SensiML Analytics Toolkit now provides pipeline support for one of the most popular open-source AI frameworks in existence: TensorFlow, specifically its TinyML variant TensorFlow Lite for Microcontrollers. This week we’ve added a step-by-step boxing wearing tutorial showing how SensiML data collection, annotation, and feature preprocessing are combined with a neural network classifier using TFL Micro.
Read MoreSensiML Integrates Google’s TensorFlow Lite for Microcontrollers
SensiML Analytics Toolkit now provides pipeline support for one of the most popular open-source AI frameworks in existence: TensorFlow, specifically its TinyML variant TensorFlow Lite for Microcontrollers. The combination of SensiML and TensorFlow Lite for Microcontrollers offers best-in-class AI code generation for TinyML applications from consumer wearables to multi-sensor industrial monitoring devices.
Read MoreSensiML 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.
Read MoreWhen AI Goes Wrong:
Avoid This Leading Cause for Project Failure
Scenario: Six months and $500,000 of investment into a key initiative to build a more intelligent product or streamline a strategic internal process using AI, and things are not going well.
The frequent culprit is poor upfront planning for a data-centric approach to development. Read more about this all too common issue that can undermine AI project success before you even start.
Read MoreSensiML Free Trial Edition
Amazingly simple to use, no need for large data science. SensiML Free Trial Edition includes sample datasets for rapid exploration teams. SensiML Toolkit enables AI for a broad array of resource constrained time-series sensor endpoint applications. These include a wide range of consumer and industrial sensing applications. Our growing library of data transformation and pattern…
Read MoreNasdaq 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.
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