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AI Assists PCB Designers

AI Assists PCB Designers
by Daniel Payne on 04-17-2023 at 6:00 am

PCB steps min

Generative AI is all the rage with systems like ChatGPT, Google Bard and DALL-E being introduced with great fanfare in the past year. The EDA industry has also been keen to adopt the trends of using AI techniques to assist IC engineers across many disciplines. Saugat Sen, Product Marketing at Cadence did a video call with me to explain… Read More


Takeaways from SNUG 2023

Takeaways from SNUG 2023
by Bernard Murphy on 04-07-2023 at 6:00 am

Aart keynote

Synopsys pulled out all the stops for this event. I attended the first full day, tightly scripted from Aart’s keynote kick off to 1×1 interviews with Synopsys executives to a fireside chat between Sassine Ghazi (President and COO) and Rob Aitken (ex-Fellow at Arm, now Distinguished Architect at Synopsys). That’s a lot of … Read More


Interconnect Under the Spotlight as Core Counts Accelerate

Interconnect Under the Spotlight as Core Counts Accelerate
by Bernard Murphy on 04-06-2023 at 6:00 am

Core counts min

In the march to more capable, faster, smaller, and lower power systems, Moore’s Law gave software a free ride for over 30 years or so purely on semiconductor process evolution. Compute hardware delivered improved performance/area/power metrics every year, allowing software to expand in complexity and deliver more capability… Read More


AI is Ushering in a New Wave of Innovation

AI is Ushering in a New Wave of Innovation
by Greg Lebsack on 04-05-2023 at 10:00 am

16268313 rm373batch5 18a

Artificial intelligence (AI) is transforming many aspects of our lives, from the way we work and communicate to the way we shop and travel. Its impact is felt in nearly every industry, including the semiconductor industry, which plays a crucial role in enabling the development of AI technology.

One of the ways AI is affecting our… Read More


AI in Verification – A Cadence Perspective

AI in Verification – A Cadence Perspective
by Bernard Murphy on 04-04-2023 at 6:00 am

Opening slide min

AI is everywhere or so it seems, though often promoted with insufficient detail to understand methods. I now look for substance, not trade secrets but how exactly they using AI. Matt Graham (Product Engineering Group Director at Cadence) gave a good and substantive tutorial pitch at DVCon, with real examples of goal-centric optimization… Read More


Full-Stack, AI-driven EDA Suite for Chipmakers

Full-Stack, AI-driven EDA Suite for Chipmakers
by Kalar Rajendiran on 04-03-2023 at 6:00 am

Synopsys.ai Industry First AI driven Full EDA Suite

Semiconductor technology is among the most complex of technologies and the semiconductor industry is among the most demanding of industries. Yet the ecosystem has delivered incredible advances over the last six decades from which the world has benefitted tremendously. Yes, of course, the markets want that break-neck speed… Read More


Narrow AI vs. General AI vs. Super AI

Narrow AI vs. General AI vs. Super AI
by Ahmed Banafa on 03-22-2023 at 10:00 am

Narrow AI vs. General AI vs. Super AI

Artificial intelligence (AI) is a term used to describe machines that can perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI is classified into three main types: Narrow AI, General AI, and Super AI. Each type of AI has its unique… Read More


Scaling AI as a Service Demands New Server Hardware

Scaling AI as a Service Demands New Server Hardware
by Bernard Murphy on 03-14-2023 at 6:00 am

NLP min

While I usually talk about AI inference on edge devices, for ADAS or the IoT, in this blog I want to talk about inference in the cloud or an on-premises datacenter (I’ll use “cloud” below as a shorthand to cover both possibilities). Inference throughput in the cloud is much higher today than at the edge. Think about support in financial… Read More


MIPI D-PHY IP brings images on-chip for AI inference

MIPI D-PHY IP brings images on-chip for AI inference
by Don Dingee on 03-13-2023 at 10:00 am

Perceive Ergo 2 brings images on-chip for AI inference with Mixel MIPI D-PHY IP

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


Deep thinking on compute-in-memory in AI inference

Deep thinking on compute-in-memory in AI inference
by Don Dingee on 03-09-2023 at 6:00 am

Compute-in-memory for AI inference uses an analog matrix to instantaneously multiply an incoming data word

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