The new MCX microcontroller (MCU) portfolio features four new series of devices, built on a common platform and supported by NXP’s widely adopted MCUXpresso suite of development tools and software to ...

Machine learning (ML) has progressively moved from the cloud to edge computing to reduce latency in decision-making, lower power consumption, and decrease the dependence on network connections, ...

STMicroelectronics, a global semiconductor leader serving customers across the spectrum of electronics applications, is making embedded artificial intelligence (AI) truly here to help with a new ...

On March 10, 2026, Synaptics Incorporated (NASDAQ:SYNA) accelerated its push into edge artificial intelligence by launching the Astra SR80 and SRW1500 series AI-native microcontrollers. Marking a key ...

Edge computing refers to running AI/ML without needing connections to the cloud to operate. TinyML solutions are those that can run at the edge using low-end computing solutions. These may, but need ...

Raju Dandigam is an Engineering Manager at Navan with 14+ years of experience in full-stack development and AI-driven solutions. Businesses need to provide smooth, high-performance applications in ...

The edge, rapidly becoming the next playing field for networks, will be empowered by devices such as microcontrollers enabled ...

The need for fast, efficient and scalable data processing has never been greater. The dramatic growth we’ve seen in computing power, 5G networks, IoT devices and other data-intensive applications will ...

In today''s connected world, speed is no longer a luxury, it''s a requirement. Systems are expected to respond instantly, ...

Though living on the edge sounds like a potential recipe for high risk and disaster, these days the edge carries a less risky proposition for electronics systems. Driven by a desire for faster data ...