SensiML Blog

Making Monitoring Environmental Conditions a Breeze Our third-place winner (line-powered category) in the Challenge Climate Change contest was Attila Tőkés, who created an extremely versatile environmental sensor platform he calls “Breeze.” This platform features a carrier board which can connect multiple sensor boards, a communications module, the QuickLogic QuickFeather board, and a solar panel/charging system along

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  Over the last 200 years or so, increasingly sophisticated automation has driven multiple waves of the industrial revolution and lifted the global standard of living by making manufactured goods relatively inexpensive.  The next wave, which some call the fourth industrial revolution, includes AI combined with robotics to create intelligent machines capable of learning how

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The Forest Guardian won the first place in the battery-operated category of our “Combat Climate Change” contest.  We at SensiML thought it was a very creative way to help combat climate change by detecting and reporting on instances of illegal logging. Specifically, the Forest Guardian application works by using a solar-charged battery to power a

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For our Challenge Climate Change contest (done in collaboration with QuickLogic and hackster.io) we had two primary categories:  battery powered applications and line powered applications.  Previously we discussed the battery powered winners, now it’s time to take a look at the clever line powered application winners. Our first place finisher in the line powered category was Ralph

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The Protecting the Peatlands Project won the second place in the battery-operated category of our “Combat Climate Change Challenge” contest. Peatlands are a special type of wetlands which are particularly valuable for preserving global biodiversity, sequestering carbon, and filtering water.  Unfortunately, a good percentage of the earth’s peatlands have already been eliminated or significantly damaged,

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For Alejandro, helping to solve this problem really hit home as it’s a big issue in his native country of Mexico.  In his words, “The environmental effects of illegal logging include deforestation, the loss of biodiversity and the emission of greenhouse gases.  Illegal logging has contributed to conflicts with indigenous and local populations, violence, human rights

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We’ve discussed many of the other top applications submitted for our Challenge Climate Change contest (a collaboration between us, QuickLogic, and hackster.io).  Next we’d like to discuss one called “BirdBuddy” – a really interesting project and a 2nd place finisher in the contest. Due to climate change, birds are migrating earlier each year.  Different species in

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Opportunities to improve manufacturing processes by adding machine learning sensors at the IoT edge are rapidly emerging. Thanks to a combination of Powerful microcontrollers and multi-core SoCs like the EOS S3 on QuickLogic’s QuickAI HDK High-resolution, low-cost MEMS sensors and microphones Powerful AutoML-based AI tools like SensiML Analytics Toolkit it is possible to bring sophisticated

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Highlights: Starting August 1st, SensiML is updating its service plans to bring more value and flexibility to its customers.  A new plan offering called ‘Proto Edition‘ (or just ‘Proto’) provides a pay-per-use option for first-time and infrequent users of AutoML tools. By offering service on a single application basis, ‘Proto’ allows such users to gain familiarity

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About six months ago we, the folks at QuickLogic, and the Avnet Hackster.io online community announced our Challenge Climate Change contest.  The idea was to encourage creative smart technology projects that improve awareness, change behavior, or optimize processes to impact climate change for the better.  Towards that end, we opened up the contest to developers

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SensiML has collaborated with Microchip Technology to deliver ultra-compact machine learning at the IoT edge combining SensiML Analytics Toolkit with the SAM-IoT WG evaluation kit, SAMD21 MCU, and MPLAB X IDE tool suite.

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Today SensiML took a leadership position in AI/ML tools for the IoT edge by announcing our new Open Source Initiative. SensiML Open Source Embedded SDK (coming later this summer) – The full library of SensiML segmenters, transforms, features, and classifiers as implemented by the AutoML and Python-based SensiML Analytics Toolkit Notebook will become available in open source format.

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