Embedded World 2023: It’s Time To Architect All Ambitions With Custom Compute


As soon as we arrived in Nuremberg, we could feel the city was buzzing and ready for a great Embedded World 2023 conference. It was hard to avoid exhibitors, speakers, and visitors at breakfast in the hotel or at dinner in restaurants – not to mention the waves in the metro! It was my first time at the conference, and I found the number of attendees and the quality of discussions very satisf... » read more

A Hierarchical And Tractable Mixed-Signal Verification Methodology For First-Generation Analog AI Processors


Artificial intelligence (AI) is now the key driving force behind advances in information technology, big data and the internet of things (IoT). It is a technology that is developing at a rapid pace, particularly when it comes to the field of deep learning. Researchers are continually creating new variants of deep learning that expand the capabilities of machine learning. But building systems th... » read more

Renesas / Cyberon Speech Recognition


Traditional voice or speech recognition technology is based on a trained model with specific words or phrases. Natural language processing is word-order independent. This requires large computing power to run the real time data through a neural network. The Cyberon approach is different, allowing the algorithms to run on a small, general purpose MCU. Click here to read more. » read more

2023 Open Source Risk In M&A By The Numbers


Learn how an open source audit can reduce your security risk Here’s what we know: Most of today’s codebases contain open source components. Vulnerabilities and licensing issues in codebases are as pervasive as open source itself. Unpatched software vulnerabilities are one of the biggest cyberthreats organizations face. Failure to comply with open source licenses can put... » read more

Compact NN Accelerator In CodAL


Recent years of IoT/IIoT evolution resulted in an important shift from cloud-level to device-level AI processing. It enables devices to run some AI tasks locally, thus minimizing security issues, data transfer costs, and latency. The ability to run AI/ML tasks becomes a must-have when selecting an SoC or MCU for IoT and IIoT applications. Embedded devices are typically resource-constrained, ... » read more

Blog Review: March 22


Siemens EDA's Dan Yu warns that the unavailability of verification data is slowing down the development of advanced machine learning for verification, with valuable data assets either siloed among different team members or projects or simply discarded due to the lack of analytic techniques to extract value from them. Synopsys' Richard Solomon and Dana Neustadter point to the need for hardwar... » read more

PCIe 6.0 Electrical Testing For High Data-Bandwidth Applications


For nearly three decades, PCI Express (PCIe) technology has been the standard interconnect inside computers providing high bandwidth and low latency to meet customer demand. However, as the industry needs to evolve, so does the standard, keeping pace and driving future innovation. PCIe 6.0 is ubiquitous and offers power-efficient performance and high bandwidth for latency-sensitive applicati... » read more

Using Simulation To Overcome Three Millimeter-Wave Design Challenges


Radio designers are embracing system simulation to reduce design time and ensure their devices meet the 5G NR specification. We explore 3 simulation techniques to overcome mmWave design challenges. Click here to read more. » read more

Week In Review: Design, Low Power


The UK government published its National Quantum Strategy, which outlines the plan to invest £2.5 billion (~$3.0 billion) over the next 10 years into quantum technology, including computing, sensing, timing, imaging, and networking. "We will develop UK strengths across different hardware platforms, software, and components, and reinforce our capabilities throughout the supply chains. Although ... » read more

Blog Review: March 15


Siemens EDA's Dan Yu finds that high-quality, well-connected mass data are crucial to the success of applying machine learning to verification and recommends teams pivot to a data-centric workflow. Synopsys' Shankar Krishnamoorthy suggests that deploying AI-driven chip design and verification can free teams from iterative work, letting them focus instead on product differentiation and PPA en... » read more

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