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 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 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.
Read MoreSensiML’s Response to the Coronavirus Pandemic
SensiML announces two COVID-19 initiatives:
1) SensiML Toolkit Starter Edition is now available for a limited time at $99 for a 90-day license.
2) SensiML to open-source a COVID-19 AI dataset for rapid virus screening from cough sounds. Learn how you can contribute to this project yourself.
New SensiML Analytics Studio Makes AutoML for IoT Edge Easier Than Ever
This week SensiML is releasing an all new version of its industry leading AutoML application SensiML Analytics Studio for building optimized embedded sensor algorithms for IoT devices. SensiML Analytics Studio has existed since our inception as a core component of our AI Toolkit. Previously it consisted of both a Python language interface for data scientists…
Read MoreSensiML 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 –…
Read MoreSensiML Joins STMicro Partner Program to Deliver AI Solutions for IoT Edge Devices
We issued a press release today announcing that SensiML has joined the STMicroelectronics Partner Program, enabling the two companies to work together to deliver complete AI solutions for IoT endpoint applications. In particular, the program adds SensiML support for STM32 microcontrollers (based on the popular Arm® Cortex®-M processor) and ST SensorTile IoT Development Kits, allowing…
Read MoreVisit SensiML at CES 2020 – See Our Latest Smart IoT Demos
SensiML™ Corporation, a leading developer of AI tools for building intelligent IoT endpoints, will be demonstrating its SensiML Analytics Toolkit and how easy it is to integrate real-world edge AI inference models into existing IoT platform. SensiML offers an IoT AI software program that enables developers to build intelligent endpoints quickly and easily (up to five times faster…
Read MoreSmart Manufacturing Innovation Center Showcases SensiML / QuickAI Solution
The Smart Manufacturing Innovation Center (SMIC) showcased SensiML and QuickLogic Quick AI industrial sensing this past month as part of their pilot manufacturing demonstration. The demonstration and multi-phase pilot for rapid configuration modular manufacturing cells with predictive maintenance are functioning at their R&D center based in Seoul, South Korea. The pilot demonstrates how flexible manufacturing…
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