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Posts Tagged ‘machine learning’

DAC 2018 Review with Anupam Bakshi, CEO: Emerging must-have toolset in System Development

Wednesday, July 18th, 2018

This was an intriguing DAC. Hardware-Software Interface (HSI) is increasingly emerging as an area of importance, and because of this Agnisys has begun to emerge as a must-have toolset in the system development toolchain.

It still surprises me that some are just now waking up to this critical area of design. Teams are realizing that the chain is only as strong as its weakest link, and a design is only as robust as the weakest automation script. They are replacing their internal scripts with off-the-shelf professional tools. Agnisys, I’m proud to say, provides just that – professional products to replace register automation scripts.

One thing I did hear many times from attendees is that they are no longer satisfied with just creating register models. They want a test suite that automatically verifies the IP/SoC registers using a variety of techniques including C, UVM, and Formal. We nearly ran out of brochures for ARV-Sim™ARV-Formal™, and ISequenceSpec™, as these products are intentionally built for exactly that.

Functional Safety driven by the ISO 26262 standard continues to be another hot area. Designers are looking for certified tools that can help them create autonomous vehicles and embedded electronics for automobiles. We shared our solution that fits in the intersection of Functional Safety and Electronic Design.

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Teaching the Computers to Teach Themselves – Why Machine Learning Matters

Monday, June 11th, 2018

why-machine-Learning-mattersMachine learning (or “ML” for short) may have begun life as something of a buzzword, but it has long since proven itself to be anything but. At its core, the term itself describes a situation where computer scientists use statistical techniques to essentially “learn” with data, without being specifically programmed to do so. In essence, you build a system to complete a specific task. The more data you feed into the system, the better it gets at that task – all without requiring human beings to make those improvements on their own.

This seemingly straightforward concept has led to a massive disruption in the field of electronic design, especially over the last few years. It has already led to the creation of a brand new class of embedded systems that use both machine learning and deep learning, otherwise known as ML/DL systems.

The Power of Machine Learning: Breaking It Down

Although it’s still a relatively new concept in the modern context, machine learning is already having a massive impact on just about every industry. Businesses regularly use machine learning systems powered by customer data to help improve satisfaction whenever possible. If you can power a machine learning system to analyze user activity in real-time, you’re therefore in a better position to identify the conditions for a potential account closure before it happens. You can then proactively reach out to that customer and save the account before they head off into the arms of a competitor. Or, a financial services company might use machine learning to better respond to changes and fluctuations in the local market as they happen. The system itself can quickly identify trends and patterns that would have otherwise went unnoticed, alerting humans to the idea that something is about to happen so that they can react in the most appropriate way.

For the rest of this blog article, please visit Agnisys.com.




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