
Particle
@particle
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Particle is the leading application infrastructure for intelligent devices.
San Francisco, CA
Joined February 2012
Watch as Mohit Bhoite shows off a few simple application that he built to demonstrate some of Tachyon's impressive capabilities — from getting weather forecasts through voice commands to streaming Spotify songs while displaying the current track.
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On this World Water Day, discover how @alertlabsinfo leverages Particle's cellular connectivity in their AlertAQ smart building platform to save billions of gallons of water and significantly reduce carbon emissions across North America:
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RT @Hacksterio: Tilt Tracker is a @Particle Boron-powered tracking system built to prevent pressure ulcers from developing in people with l….
hackster.io
Tilt Tracker is a Particle Boron-powered tracking system built to prevent pressure ulcers from developing in people with limited mobility.
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Wonder which birds are visiting your backyard this spring? 🐦 . Flockr is a smart feeder that uses a @TensorFlow Lite model with a @Raspberry_Pi 5 and a Particle Boron to identify your feathered friends from a video feed over LTE:
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Do you have a remote @Raspberry_Pi application running that lacks reliable Wi-Fi access? Let’s explore how you can perform a software update over LTE by using Particle's B504e SoM and Asset OTA feature:
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First day of #ew25 is underway! 💥 . In Nuremberg this week? Stop by our booth with @Conclusive_tech (4A-121) to get a sneak peek at our new Tachyon 5G SBC, Muon multi-radio dev board, M1 Enclosure, and more. Come discover how Particle can power your next intelligent device!
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RT @Conclusive_tech: #EW2025 we're here! Visit our team in hall 4A, booth 121. @embedded_world @particle #EmbeddedWorld .
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RT @Hacksterio: .@CodersCafeTech's Shebin Jacob and Nekhil R developed a @Particle-powered GPS tracking system to prevent human-wildlife co….
hackster.io
Engineers made a Particle-powered GPS tracking system to prevent human-wildlife conflicts by sending alerts when elephants leave safe zones.
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Most of today's AI models are power hungry and expensive. Researchers in the Global South are increasingly embracing low-cost, energy-efficient alternatives to deploy ML in the field for applications ranging from agriculture to healthcare.
science.org
Stamp-size devices running machine learning models are tackling agricultural, health, and conservation problems in resource-poor regions
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