Tag: Machine learning

The global semiconductor giant STMicroelectronics has simplified interaction with trained devices with its new inertial sensor ISM330ISN featuring an Intelligent Sensor Processing Unit (ISPU). ISPU is essentially a low-power, high-performance programmable core with high computational...

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...

If you are working on edge-AI devices then you would’ve considered buying NVIDIA Jetson Xavier NX, which is a best-in-class deep learning-accelerating module claimed to be the world's smallest supercomputer that was released last year. With the increasing implementation of AI-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...

Kontron AI platform based on NXP i.MX8 M & Google Coral Edge TPU allows easy integration of all Google TensorFlow-Lite applications for Artificial Intelligence. The applications of TensorFlow Lite and pre-trained models can be downloaded for free of cost. It also comes with the...

"TinyML is proof that good things come in small packages", or so does ARM describe it, as it promises with TinyML to change a different approach, by running optimized machine learning models on small and efficient microcontroller-based endpoint devices, instead of bulky, power-hungry...

Think about what would be useful when developing your machine learning projects for the Raspberry Pi, maybe a camera, a display, some input and output sound capabilities or even an easy means to easily inject the results of your algorithms into servo motors or other devices. Look no...

simone @ loquentarduino.github.io writes: When I first run a Machine learning project on my Arduino Nano (old generation), it already felt a big achievement. I mean, that board has only 32 Kb of program space and 2 Kb of RAM and you can buy a chinese clone for around 2.50 $. It...