Tag: TinyML
TinyML Image Classification On ESP32-CAM Development Board and Edge Impulse Studio
Recent breakthroughs in embedded machine learning have increased the demand for TinyML applications. In dealing with TinyML, there is an excellent platform to get started and build complex projects, Edge Impulse. We have also witnessed several new embedded devices coming to market...
Continue ReadingEngineering Samples of Ultra-Low Power AON1100 Chip and Development Kit Now Available
AONDevices, Inc., a provider of ultra-low power, high-performance processors for a new era of edge AI, today announced that engineering samples of its new AON1100™ processor are now available. The AON1100 Edge AI processor enables unprecedented sensing capabilities in...
Continue ReadingRAKwireless Launches Two Modules Within The WisBlock IoT Ecosystem
RAKWwireless, a Chinese embedded device manufacturer known for its rich IoT ecosystem with several sensors’ boards and add-on modules for existing baseboards, launched a series of new modules with special highlights on the WisBlock LPWAN module and WisBlock baseboard. The reason for...
Continue ReadingSyntiant Brings AI Development to Everyone, Everywhere with Introduction of TinyML Platform
Tiny Machine Learning Development Board Now Available for Building Low-Power Voice, Audio and Sensor Applications using Edge Impulse’s Embedded ML Platform. Smallest Form Factor in the Market Fits Tiniest Devices; Delivers 20x More Throughput at 200x Less Energy Per Inference....
Continue ReadingSparkFun QuickLogic Thing Plus featuring EOS S3 MCU and eFPGA is now available at $45.95
SparkFun QuickLogic Thing Plus was originally crowdfunded on CrowdSupply that raised around $4500. If you did not back the product back then, no worries, you can buy it now on the SparkFun product page. SparkFun QuickLogic Thing Plus is a powerful FPGA board that comes with a...
Continue ReadingHow to Build a TinyML Smart Weather Station using Wio Terminal
You might have seen many ML-based projects for weather predictions. Where training of an ML model is followed by testing of the model for good accuracies. This tutorial will learn to deploy a similar type of ML model using an on-board TensorFlow Lite on the Wio Terminal. You will see...
Continue ReadingHimax WE-I Plus EVB: Computer vision and AI on the Edge
Edge computing has many great advantages. When you take some resource-heavy work from servers and let your less capable but still slightly powerful microcontrollers, you end up freeing server resources. Also, depending on what you are doing, you can get away with not using a server at...
Continue ReadingEta Compute’s ECM3532 AI Sensor Board with TENSAI SoC for TinyML
Eta Compute’s ECM3532 AI Sensor board is a low-power AI development platform with advanced sensors, compatible with sound classification, keyword spotting, activity classification, context awareness, and defect detection. It has an embedded Cortex-M3 microcontroller that functions up...
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