Visit 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!

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UPDATE: 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.

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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. 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.

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When 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.

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SensiML 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…

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Nasdaq Helps SensiML Spread the Word On Our COVID-19 Initiative

SensiML COVID-19 PSA on Nasdaq Tower in TImes Square

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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AutoML

AutoML employs high performance computing and use of search optimization algorithms to augment human know-how in performing the task of constructing an ideal ML model for a given application and train/test dataset.

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Feature (machine learning)

In machine learning and pattern recognition, a feature is an individual measurable heuristic property of a phenomenon being observed. Choosing discriminating and independent features is key to any pattern recognition algorithm being successful in classification. Features are usually numeric, but structural features such as strings and graphs are used in syntactic pattern recognition. The set…

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