Many people have begun experimenting with using machine learning in embedded systems as the two technologies have become more prominent in today’s society. That approach allows for overcoming many of ...

Machine learning is a subfield of artificial intelligence which gives computers an ability to learn from data in an iterative manner using different techniques. Our aim here being to learn and predict ...

STMicroelectronics (NYSE:STM) is ready to launch its new series of microcontrollers with machine learning capabilities in high volumes. The Switzerland-based company said the STM32N6 microcontroller, ...

Integrating processors, sensors, and data exchange functionality into everyday objects, the Internet of Things (IoT) pushes computing capabilities far beyond desktops and servers, weaving computation ...

This layered approach reflects common best practices in embedded AI, where deterministic safeguards complement probabilistic ...

Development tools like the DeepView ML tool suite, Glow ML compiler, and PyTorch framework simplify the process of creating ML/deep-learning projects on embedded platforms and help developers bring ...

Developers, makers and enthusiasts building embedded vision machine learning projects may be interested to know that Adafruit has this week announced the arrival a new camera to their store in the ...

Machine learning (ML) is only one aspect of artificial intelligence (AI). ML also has many parts to it, but those having the biggest impact now are based around neural networks (NNs). Even drilling ...