The race is on to figure out how to apply analytics, data mining and machine learning across a wide swath of market segments and applications, and nowhere is this more evident than in semiconductor design and manufacturing.
Anush Mohandass, NetSpeed's VP of Marketing and Business Development, shared his observations on the process of generating actionable insights from volumes of data, in this Semiconductor Engineering Article:https://semiengineering.com/applying-machine-learning-to-chips/Anush: “In Silicon Valley almost everybody is good at getting some form of data. The guys who are really good are the ones who go through that chain, and understand that chain of data from insight to action. We’ve put that intelligence back into our design environment and our IP. Machine learning is one aspect of it.”
Whether you are a hardware architect looking for cache coherency solutions to realize your ideas into silicon or a SoC designer looking for a high performance and efficient interconnect or a safety manager looking for solutions to build resilient, fault-tolerant systems—NetSpeed has a solution for you.
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