Many people have begun experimenting with using machine learning in embedded systems as the two technologies have become more prominent in today’s society. That approach allows for overcoming many of ...

Is generative AI the catalyst for redefining modern engineering? Are we prepared for a world where intelligent tools shape ...

Embedded platforms have become an integral part of our daily lives, revolutionizing our technological interaction. These platforms, equipped with deep learning algorithms, have opened a world of ...

In this video, embedded systems consultant Martin Schroder outlines ten steps on self learning embedded systems. Embedded systems are everywhere in today’s increasingly complex electronics equipment.

Embedded-systems designers are on a mission to squeeze powerful AI algorithms into resource-constrained gadgets, relying on cutting-edge custom hardware accelerators and high-level synthesis to push ...

Why it’s important not to over-engineer. Equipped with suitable hardware, IDEs, development tools and kits, frameworks, datasets, and open-source models, engineers can develop ML/AI-enabled, ...

CEVA has introduced a real-time neural network software framework, the CEVA Deep Neural Network (CDNN), to streamline machine learning deployment in low-power embedded systems. Exploiting the ...

Deciding on the programming language for your next embedded product may not be as simple as just choosing C. While C has been the industry's go-to workhorse for the past 50 years, its features and ...

Intel wrote a white paper in collaboration with Daedalean, a startup working on machine-learned solutions in the aviation space. Published this week, the report features a reference design for an AI ...

In this rapidly evolving technology, embedded systems have become the backbone of the modern world. From the subtle intelligence of smart home devices to the critical operations within healthcare and ...