hip webinar automating integration workflow 800x100 (1)
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ML-Based Coverage Refinement. Innovation in Verification

ML-Based Coverage Refinement. Innovation in Verification
by Bernard Murphy on 04-27-2022 at 6:00 am

Innovation New

We’re always looking for ways to leverage machine-learning (ML) in coverage refinement. Here is an intriguing approach proposed by Google Research. 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… Read More


Quantum Computing Trends

Quantum Computing Trends
by Ahmed Banafa on 04-17-2022 at 10:00 am

Math Physics Biology

Quantum Computing is the area of study focused on developing computer technology based on the principles of quantum theory. Tens of billions of public and private capitals are being invested in Quantum technologies. Countries across the world have realized that quantum technologies can be a major disruptor of existing businesses,… Read More


Optimizing AI/ML Operations at the Edge

Optimizing AI/ML Operations at the Edge
by Tom Simon on 03-22-2022 at 6:00 am

Optimizing Edge Based AI ML

AI/ML functions are moving to the edge to save power and reduce latency. This enables local processing without the overhead of transmitting large volumes of data over power hungry and slow communication links to servers in the cloud. Of course, the cloud offers high performance and capacity for processing the workloads. Yet, … Read More


Webinar: From Glass Break Models to Person Detection Systems, Deploying Low-Power Edge AI for Smart Home Security

Webinar: From Glass Break Models to Person Detection Systems, Deploying Low-Power Edge AI for Smart Home Security
by Daniel Nenni on 03-13-2022 at 10:00 am

Untitled design

Moving deep learning from the cloud to the edge is the holy grail when it comes to deploying highly accurate, low-power applications. Market demand for edge AI continues to grow globally as new hardware and software solutions are now more readily available, enabling any sized company to easily implement deep learning solutions… Read More


Getting to Faster Closure through AI/ML, DVCon Keynote

Getting to Faster Closure through AI/ML, DVCon Keynote
by Bernard Murphy on 03-10-2022 at 10:00 am

Manish min

Manish Pandey, VP R&D and Fellow at Synopsys, gave the keynote this year. His thesis is that given the relentless growth of system complexity, now amplified by multi-chiplet systems, we must move the verification efficiency needle significantly. In this world we need more than incremental advances in performance. We need… Read More


Dynamic Coherence Verification. Innovation in Verification

Dynamic Coherence Verification. Innovation in Verification
by Bernard Murphy on 02-16-2022 at 6:00 am

Innovation New

We know about formal methods for cache coherence state machines. What sorts of tests are possible using dynamic coherence verification? Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO) and I continue our series on research ideas. As always, feedback welcome.… Read More


Unlocking the Future with Robotic Precision and Human Creativity

Unlocking the Future with Robotic Precision and Human Creativity
by Mike Gianfagna on 01-18-2022 at 6:00 am

Unlocking the Future with Robotic Precision and Human Creativity

From the perspective of all time for recorded human history, the last 300 years (a blink on that time scale) has seen incredible, life-changing and world-changing advances. Water and steam-driven machines first showed up in the 1700s. This is often called Industry 1.0. Powered assembly lines in the late 1800s became Industry … Read More


AI at the Edge No Longer Means Dumbed-Down AI

AI at the Edge No Longer Means Dumbed-Down AI
by Bernard Murphy on 01-13-2022 at 6:00 am

face recognition

One aspect of received wisdom on AI has been that all the innovation starts in the big machine learning/training engines in the cloud. Some of that innovation might eventually migrate in a reduced/ limited form to the edge. In part this reflected the newness of the field. Perhaps also in part it reflected need for prepackaged one-size-fits-many… Read More


AI for EDA for AI

AI for EDA for AI
by Daniel Nenni on 12-24-2021 at 6:00 am

Agnisys AI EDA AI

I’ve been noticing over the last few years that electronic design automation (EDA) vendors just love to talk about artificial intelligence (AI) and machine learning (ML), sometimes with deep learning (DL) and neural networks tossed in as well. It can get a bit confusing since these terms are used in two distinct contexts. The first… Read More


Ramping Up Software Ideas for Hardware Design

Ramping Up Software Ideas for Hardware Design
by Bernard Murphy on 12-16-2021 at 6:00 am

Bridging chasm

This is a topic in which I have a lot of interest, covered in a panel at this year’s DAC; Raúl Camposano chaired the session. I had earlier covered a keynote by Moshe Zalcberg at Europe DVCon late in 2020; he now reprises the topic. Given the incredible pace of innovation and scale in software development these days, I don’t see what we… Read More