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Taking the Size and Power of Extreme Edge AI/ML to the Extreme Minimum

Earlier this year, I penned a couple of columns under the umbrella title “Mind-Boggling Neuromorphic Brain Chips.” One of the first comments I received concerning these columns was short, sharp, and sweet, simply reading, “Also, Brain-Boggling.”

Arrrggghhh. How did I miss that? How could I not have used “Brain-Boggling Neuromorphic Brain Chips”? There was much gnashing of teeth and rending of garb that … Read More → "Taking the Size and Power of Extreme Edge AI/ML to the Extreme Minimum"

Intelligently Transporting Electrical and Optical Signals

Back in the day, when computers ran standalone and there was no such thing as networks, I used to be reasonably confident that I had at least a vague understanding as to what was going on. Silicon chips talked to other silicon chips and circuit boards talked to other circuit boards using electrical signals travelling over copper wires. If you wanted to send a message over longer … Read More → "Intelligently Transporting Electrical and Optical Signals"

There’s Exciting News on the Multi-Modal AI SoC Front

As is often the case, I’m amazed by how so many things seem to be interrelated and interconnected. I’m sorry… I feel an aside coming on… I cannot help myself… just saying “interconnected” reminds me of the book “Dirk Gently’s Holistic Detective Agency,” which was written by the late great Douglas Adams.

As you may recall, Dirk is an unconventional … Read More → "There’s Exciting News on the Multi-Modal AI SoC Front"

Lean, Mean Models – Simulating, Testing, and Deploying the Next Generation of Edge AI Models

My podcast guests this week are Jack Ferrari and Johanna Pingel from MathWorks! We discuss the trends and technologies driving the adoption of edge AI applications, the common challenges associated with edge AI and the roles that the maintenance and upkeep of machine learning models, over the air updates, and on-device training will play for the future of edge AI applications. 

 

< … Read More → "Lean, Mean Models – Simulating, Testing, and Deploying the Next Generation of Edge AI Models"

Customized Analog ASSPs for Smart Factories and Industry 4.0

I’m a digital logic design engineer by trade. In this uncertain world in which we live, I find comfort and take solace in the fact that you know where you stand with a trusty 0 or 1 in the digital domain. By comparison, I view the wibbly-wobbly analog arena as being inherently unsure, undecided, and uncertain. You never know what to expect with an analog signal.

Read More → "Customized Analog ASSPs for Smart Factories and Industry 4.0"

In Memoriam: Charlie Sporck, Former CEO of National Semiconductor

Charles (Charlie) Sporck, a former CEO of National Semiconductor, died in October. He was a true semiconductor pioneer – a contemporary of Robert Noyce and Gordon Moore – who started working at Fairchild Semiconductor as a production manager in 1959 when he knew virtually nothing about semiconductors. Sporck’s claim to fame is transforming National Semiconductor from a failing enterprise into a chip-making powerhouse and analog IC leader during the 1970 … Read More → "In Memoriam: Charlie Sporck, Former CEO of National Semiconductor"

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featured blogs
Nov 15, 2024
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chalk talks
Vector Funnel Methodology for Power Analysis from Emulation to RTL to Signoff – Synopsys  The shift left methodology can help lower power throughout the electronic design cycle. In this episode of Chalk Talk, William Ruby from Synopsys and Amelia Dalton explore the biggest energy efficiency design challenges facing engineers today, how Synopsys can help solve a variety of energy efficiency design challenges and how the shift left methodology … Read More → "Vector Funnel Methodology for Power Analysis from Emulation to RTL to Signoff – Synopsys"
Accelerating Tapeouts with Synopsys Cloud and AI — Synopsys  In this episode of Chalk Talk, Amelia Dalton and Vikram Bhatia from Synopsys explore how you can accelerate your next tapeout with Synopsys Cloud and AI. They also discuss new enhancements and customer use cases that leverage AI with hybrid cloud deployment scenarios, and how this platform can help CAD managers and engineers reduce … Read More → "Accelerating Tapeouts with Synopsys Cloud and AI — Synopsys"
SLM Silicon.da Introduction — Synopsys  In this episode of Chalk Talk, Amelia Dalton and Guy Cortez from Synopsys investigate how Synopsys’ Silicon.da platform can increase engineering productivity and silicon efficiency while providing the tool scalability needed for today’s semiconductor designs. They also walk through the steps involved in a SLM workflow and examine how this open and extensible platform … Read More → "SLM Silicon.da Introduction — Synopsys"
Shift Left with Calibre — Siemens  In this episode of Chalk Talk, Amelia Dalton and David Abercrombie from Siemens investigate the details of Calibre’s shift-left strategy. They take a closer look at how the tools and techniques in this design tool suite can help reduce signoff iterations and time to tapeout while also increasing design quality. Click here for more … Read More → "Shift Left with Calibre — Siemens"
One Year of Synopsys Cloud: Adoption, Enhancements and Evolution — Synopsys  The adoption of the cloud in the design automation industry has encouraged innovation across the entire semiconductor lifecycle. In this episode of Chalk Talk, Amelia Dalton chats with Vikram Bhatia from Synopsys about how Synopsys is redefining EDA in the Cloud with the industry’s first complete browser-based EDA-as-a-Service cloud platform. They explore the benefits … Read More → "One Year of Synopsys Cloud: Adoption, Enhancements and Evolution — Synopsys"
Automated Benchmark Tuning — Synopsys   Benchmarking is a great way to measure the performance of computing resources, but benchmark tuning can be a very complicated problem to solve. In this episode of Chalk Talk, Nozar Nozarian from Synopsys and Amelia Dalton investigate Synopsys’ Optimizer Studio that combines an evolution search algorithm with a powerful user interface that can … Read More → "Automated Benchmark Tuning — Synopsys"