Only six years old, Edge Impulse says it’s all about ‘empowering developers to create and optimize solutions with real-world data.’ In practice, Qualcomm seems to be acquiring tools and relationships, ...

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 ...

Mouser reflected one of the major themes at Embedded World 2024, intelligence at the edge, and announced it has signed Edge Impulse, the software framework provider for embedded machine learning (ML) ...

How tinyML differs from mainstream machine learning. How tinyML is being applied. What are some of the better-known tinyML frameworks, and where can you get more information? In the ebb and flow of ...

AI is rapidly moving to the edge with demand for intelligent edge devices exploding, but many developers still struggle to fit powerful models onto tiny microcontrollers. Developers face a steep ...

Covering one of the fast-growing fields at the intersection of AI and embedded systems, the course will focus on designing efficient ML systems that are optimised for resource-constrained computing ...

Edge intelligence has been a key theme in the world of embedded systems for the last few years, but with the heightened awareness and proliferation of generative AI, there was a lot more attention to ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...