A new microcontroller claims to offer hardware-assisted machine learning (ML) acceleration for the Internet of Things (IoT) and industrial applications such as smart home, security surveillance, ...
AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...
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, ...
At the start of the year, I highlighted key trends in 5 Embedded Software Trends to Watch in 2024, predicting the forces shaping the industry. As the year unfolded, many of these trends indeed drove ...
The Eclipse Foundation, one of the world’s largest open-source software organizations, has released its 2024 IoT & Embedded Developer Survey, shedding light on key trends and challenges shaping the ...
Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...
Artificial Intelligence (AI) and Machine Learning (ML) applications are driving increased demand for high-performance, low-power memory solutions across consumer, medical, and industrial markets.
Embedded systems power everything from smart agriculture sensors to life-saving medical implants. As their numbers swell into the tens of billions, the engineering community faces a pivotal challenge: ...
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