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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...

We’ve gotten to the point where a $35 Raspberry Pi can be a reasonable alternative to a traditional desktop or laptop, and microcontrollers in the Arduino ecosystem are getting powerful enough to ...

Arm’s ARMv8.1-M architecture specification redefines its microcontroller offerings (Fig. 1). It includes the company’s Helium technology, which addresses machine-learning (ML) applications. Arm ...

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 ...

In today’s rapidly evolving technology landscape, the distinction between microcontrollers (MCUs) and micro processors (MPUs) is blurring with the introduction of high-performance Arm Cortex M ...

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, ...

Going from a microcontroller blinking an LED, to one that blinks the LED using voice commands based on a data set that you trained on a neural net work is a “now draw the rest of the owl” problem.

German research organisation Fraunhofer IMS has developed a platform-independentl feed-forward artificial neural network, written in C. “By using standard libraries based on the GNU Compiler ...

Machine learning (ML) is a branch of artificial intelligence (AI) that has been working its way into electronic systems for some years. Until now, though, the processing capability needed to implement ...