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Artificial Intelligence
Edge AI inference is getting more and more attention as demand grows for AI processing across an increasing number of diverse applications, including those requiring low-power chips in a wide range of consumer and enterprise-class devices. Much of the focus has been on optimizing the neural network processing engine for these… Read More
Neural network models are advancing rapidly and becoming more complex. Application developers using these new models need faster AI inference but typically can’t afford more power, space, or cooling. Researchers have put forth various strategies in efforts to wring out more performance from AI inference architectures,… Read More
We looked at another paper on ML-based coverage acceleration back in April 2022. Here is a different angle from IBM. Paul Cunningham (Senior VP/GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and now Silvaco CTO) and I continue our series on research ideas. As always, feedback… Read More
Often, AI inference brings to mind more complex applications hungry for more processing power. At the other end of the spectrum, applications like home appliances and doorbell cameras can offer limited AI-enabled features but must be narrowly scoped to keep costs to a minimum. New area-optimized AI inference technology from… Read More
I talked recently with Stelios Diamantidis (Distinguished Architect, Head of Strategy, Autonomous Design Solutions) about Synopsys’ announcement on the 100th customer tapeout using their DSO.ai solution. My concern on AI-related articles is in avoiding the hype that surrounds AI in general, and conversely the skepticism… Read More
There are many exciting technologies that are expected to shape the future, the following are some of the technologies that will impact our lives in the coming 5 years at different levels and depth:
Generative AI, also known as generative artificial intelligence, is a type of #AI that is designed to generate new content or data … Read More
ChatGPT is a hot topic, leading a few of my colleagues to ask me as a writer what I think of the technology. I write content for tech companies and most of my contacts freely confess that they or more often their experts struggle with writing. If a tool could do that job for them they would be happy and I would have to find a different hobby.… Read More
Like it or not, the surveillance market is growing, at a CAGR approaching 10%. Big brother concerns sometimes cloud the picture but overlook the much larger practical yet less hype-worthy applications for surveillance. Home and industrial security, enhanced traffic flow management, monitoring for fire and other fast-growing… Read More
As usual in January we start with a look back at the papers we reviewed last year. Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and now Silvaco CTO) and I continue our series on research ideas. As always, feedback welcome. And don’t forget to come see us at DVCon,… Read More
Formal methods for digital verification have advanced enormously over the last couple of decades, mostly in support of verification in control and data transport logic. The popular view had been that datapath logic was not amenable to such techniques. Control/transport proofs depend on property verification; if a proof is … Read More
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AI RTL Generation versus AI RTL Verification