When trying to gain business value through machine learning, access to best hardware that supports all the complex functions is of utmost importance. With a variety of CPUs, GPUs, TPUs, and ASICs, choosing the right hardware may get a little confusing. This blog discusses hardware consideration when building an infrastructure for machine learning projects.

With the advent of the internet of things or IoT, there has been a massive

If you look around, you will realize that a number of embedded hardware devices surround

Today’s market demands devices and systems that are compact, customizable, durable and easily maintainable. This requires embedding complex microcontrollers, processors, and microchips inside these systems. Model-based design approach is necessary to validate and verify the working of these embedded systems for their seamless working across different environments. Keep reading to know why.

Semiconductor chipmakers are rapidly moving to advanced node design, which demands denser nodes. Moreover, the

5G is supposed to provide effective machine-to-machine communications for robots, sensors, healthcare, smart meters, cameras,

Preface To efficiently verify modern Mixed Signal SoC, verification engineers face a myriad of challenges

Eragon for Edge Computing and Processing: The heart of next-gen IoT solutions IoT is slowly

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