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 ...

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 ...

The interest in state machines started in the 1950s when George Moore and Edward Mealy published seminal papers on formal methods of designing digital circuits, which generate outputs based on the ...

Michaël Uyttersprot discusses embedded vision and what is required to bring a system to market for real-world applications. Visual input is arguably the richest source of sensor information.

- Second pillar: A low-friction integration pathway into any vehicle integration point, including smart-mirrors, instrument clusters, infotainment ECUs or centralized ADAS processing systems - Third ...

How machine- and deep-learning technologies are growing rapidly, which brings about new challenges for developers who need to seek ways to optimize ML applications that run on tiny edge devices with ...

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, ...

IAR Systems® launches a new version of its state machine tool suite IAR visualSTATE®. The version adds several new features and integrations to simplify development of complex state- or event-driven ...

Virtual Machines (VMs) are revolutionising the Server sector, but they can be used in many aspects of embedded Linux development too. Here are some thoughts on where it may be useful to you… ...