Golioth

Exciting News from Golioth!??? We're thrilled to announce the launch of our AI-ready IoT infrastructure for microcontrollers. This cutting-edge technology is designed to streamline AI training, model deployment, and execution on IoT data, helping businesses integrate AI seamlessly and innovate faster. Perfect for embedded engineers looking to enhance product capabilities and drive efficiency. ?? Stream large unstructured data ?? Flexible OTA updates ?? Seamless integration with AI platforms like Edge Impulse, Replicate, and Hugging Face Discover how our new tools can transform your IoT development by visiting our website! https://glth.io/G4AI #IoT #AI #Innovation #TechNews

Testing to ensure your devices and services perform in the event of high load scenarios is very important. That’s why we released an open source tool: xk6-coap. The Grafana Labs k6 extension allows the authoring of Javascript load testing scenarios that interact with Constrained Application Protocol (CoAP) endpoints. Read more: https://glth.io/3Tup1UT

Fresh docs on Google’s Geolocation API. ????

TensorFlow Lite is a machine learning (ML) platform that runs on microcontroller-based devices. It’s AI for IoT, which raise a few challenges, such as how to figure out how to update the ML model the device is currently using. Golioth has already figured this part out! Let’s walk through how to update a TensorFlow Lite model remotely: https://glth.io/3AHG00h

Have you ever wondered how to display a device that's connected to and controlled from the internet? Ostentus, a stunning piece of hardware that showcases how a device sends sensor data to the cloud and receives commands in return. It features a combination of ePaper, back-lit LEDs, and capacitive touch. Want to know more? Let's dive in: https://glth.io/4bEvFjj Raspberry Pi | Pimoroni Ltd

Golioth's Head of Engineering, Dan Mangum is at it again with a new way to post to Bluesky: via microcontroller. Given that Golioth is primarily used to get data from constrained devices to destinations on the internet, we are always interested in new platforms that expose functionality via an API, even if the platform may not be a traditional repository of device data. Learn how Golioth Pipelines can be configured to route data to any location, including AT Protocol data repositories: https://glth.io/3OrjOLb

I designed, built, and coded this in less than 15 hours. That's only possible when you build on top of a solid platform and proven reference hardware. https://lnkd.in/e3NgrdiJ This smart locker design was created live on camera over about 5 sessions. It's a cellular connected set of relays, nothing fancy there. But the ability to add new components to this form factor (the "Lute" board) means that I can replicate it even faster next time. Everything is enabled via the Golioth platform, and builds on top of the Nordic Semiconductor nRF Connect SDK and The Zephyr Project RTOS.

At Qualcomm's Investor day Durga Malladi shared the latest in BYOM or picking one of our pre-optimized models to optimize, iterate and deploy! He highlighted our ecosystem collaborators, who are instrumental in helping our customers bring these AI experiences on device! Amazon Web Services (AWS) Dataloop AI LandingAI Particle Golioth Argmax Meta Mistral AI Preferred Networks, Inc. Tech Mahindra IBM G42 Microsoft OpenAI Stability AI Zhipu AI

New docs added for Golioth Pipelines and the HERE Technologies Network Positioning API.

Just added a new Pipelines example to the Golioth docs showing how any device can use network scan data to obtain its location using HERE Technologies Network Positioning API, then send that data to any destination.