Machine learning is a subfield of artificial intelligence which gives computers an ability to learn from data in an iterative manner using different techniques. Our aim here being to learn and predict ...

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, ...

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, ...

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) ...

The growing potential of artificial intelligence (AI) and machine learning (ML) in embedded systems is driving new application solutions and products, but developing AI-based systems can be ...

Hot on the heels of launching the Dragonwing suite of products to represent its industrial and embedded internet of things (IoT), networking and cellular infrastructure solutions, Qualcomm ...

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 ...

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 ...

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 low-cost water quality monitoring system capable of distinguishing between different types of contamination events in real ...