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Refined Fault Localization through Learning. Innovation in Verification

Refined Fault Localization through Learning. Innovation in Verification
by Bernard Murphy on 05-25-2022 at 6:00 am

Innovation New

This is another look at refining the accuracy of fault localization. Once a bug has been detected, such techniques aim to pin down the most likely code locations for a root cause. Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and now Silvaco CTO) and I continue… Read More


CEO Interview: Vaysh Kewada of Salience Labs

CEO Interview: Vaysh Kewada of Salience Labs
by Daniel Nenni on 05-20-2022 at 6:00 am

Salience Vaysh Kewada

Vaysh Kewada is cofounder and CEO at Salience Labs, a company developing an ultra high-speed multi-chip processor that packages a photonics chip together with standard electronics to enable exascale AI. Salience is funded by Oxford Sciences Enterprise, Cambridge Innovation Capital, Arm-backed Deeptech Labs, former Dialog… Read More


Why Software Rules AI Success at the Edge

Why Software Rules AI Success at the Edge
by Bernard Murphy on 05-11-2022 at 6:00 am

flexlogix min

It is an unavoidable fact that machine learning (ML) hardware architectures are evolving rapidly. Initially most visible in datacenters (many hyperscalars have built their own AI chips), the trend is now red-hot in inference engines for the edge, each spinning new ground-breaking methods. Markets demand these advances to … Read More


Tensilica Edge Advances at Linley

Tensilica Edge Advances at Linley
by Bernard Murphy on 05-04-2022 at 6:00 am

NNE graphic min

The Linley spring conference this year had a significant focus on AI at the edge, with all that implies. Low power/energy is a key consideration, though increasing performance demands for some applications are making this more challenging. David Bell (Product Marketing at Tensilica, Cadence) presented the Tensilica NNE110… Read More


High Efficiency Edge Vision Processing Based on Dynamically Reconfigurable TPU Technology

High Efficiency Edge Vision Processing Based on Dynamically Reconfigurable TPU Technology
by Kalar Rajendiran on 05-02-2022 at 6:00 am

Fast model evolution Flexibility is key

While many tough problems relating to computing have been solved over the years, vision processing is still challenging in many ways. Cheng Wang, Co-Founder and CTO of FlexLogix Technologies gave a talk on the topic of edge vision processing at Linley’s Spring 2022 conference. During that talk he references how Gerald Sussman… Read More


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