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 ...

Somdip is the Chief Scientist of Nosh Technologies, an MIT Innovator Under 35 and a Professor of Practice (AI/ML) at the Woxsen University. As a leader in the artificial intelligence (AI) domain and a ...

Machine vision and embedded vision systems both fulfill important roles in industry, especially in process control and automation. The difference between the two lies primarily in image processing ...

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 ...

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, ...

Machine learning is starting to come online in all kinds of arenas lately, and the trend is likely to continue for the forseeable future. What was once only available for operators of supercomputers ...

Most motion systems have at least some embedded control. Now evermore-powerful data processing and chip manufacturing is being leveraged — so increasingly sophisticated firm and hardware is being ...

Developers writing embedded Java applications have a stack of frameworks and other tools to choose from. Here are the best Java frameworks used for embedded development today. Java’s creators had a ...

Some software goes right from simulating into actual embedded control without missing a beat. As we covered last month, embedded motion control is operation-specific code targeted to microprocessors, ...