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 ...

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 ...

Integrating microcontrollers is revolutionising automotive technology, enabling smarter, safer driving through enhanced machine-learning capabilities. Autonomous and automated driving are trends in ...

*** All content in this blog provided by Davis Sawyer, Co-founder & CPO at Deeplite.ai *** The emergence of AI and deep learning on embedded devices and platforms has created opportunities for ...

CTO of OLX, the largest customer-to-customer resell platform in Indonesia, Rendra Toro is an Intel® Software Innovator interested in Internet of Things and Machine Learning. With a lifelong interest ...

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, ...

CMSIS-NN is an open-source library of optimized software kernels that maximize NN performance on Cortex-M cores with minimal memory footprint overhead. Machine learning (ML) algorithms are moving 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 ...