The PSoC Edge MCUs are based on a high-performance Arm Cortex-M55 processor complemented by Arm’s Helium technology for enhanced DSP and ML capabilities to accelerate neural network processing. Cortex ...

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&#822… ...

Machine learning (ML) algorithms are moving to the IoT edge due to various considerations such as latency, power consumption, cost, network bandwidth, reliability, privacy and security. Hence, there ...

On the server level, customers such as Amazon are bringing ARM-based machine learning chips into datacenters. I talked with Steve Roddy, vice president of the machine learning group at Arm at the ...

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 ...

The RA8 Series MCUs also deploy Helium, Arm’s vector extension that provides up to 4x performance boost for digital signal processor (DSP) and machine learning (ML) implementations versus MCUs based ...

SiMa.ai is strategically leveraging Arm technology to deliver its unique Machine Learning SoC. This includes: Arm Cortex-A65 as the primary processor for running embedded code as well as control ...

Machine learning (ML) algorithms are moving to the IoT edge due to various considerations such as latency, power consumption, cost, network bandwidth, reliability, privacy and security. Hence, there ...