A decade on from its debut running on high-end servers, deep learning is making its way to far more constrained systems out on the edge, though often with the help of significant amounts of pruning ...

For OEMs of intelligent electronic devices, the demand for network connectivity and increased functionality networking creates new challenges for design engineers, while introducing many elements and ...

-- WhisPro™ speech recognition software for voice wake words and custom command models now available with open source TensorFlow Lite for Microcontrollers implementing machine learning at the edge -- ...

The H8SX/1658R and 1668R series offer an easy to use set of on-chip peripheral functions, 1-cycle access Flash memory up to 1 megabyte and are available in packages that are pin compatible with ...

This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. Deep learning models owe their initial success to large ...

Latest Qorivva and S12 MagniV devices integrate connectivity, functional safety, security and network management capability, trimming number of required ECUs and associated heavy copper wiring ...

Before machine learning algorithms can be used in factories to detect equipment malfunctions or cars to autonomously tell the difference between left and right turn arrows, they need training. That ...