As more AI applications turn to edge computing to reduce latencies, the need for more computational performance at the edge continues to increase. However, commodity compute engines don’t have enough compute power or are too power-hungry to meet the needs of edge systems. Thus, when designing AI accelerators for the edge, Joe… Read More
The Increasing Gap between Semiconductor Companies and their Customers
Semiconductors sit at the heart of the electronics revolution, and the scaling enabled by Moore’s law has had a transformational impact on electronics as well as society. Traditionally, the relationship between semiconductor companies and their customers has been a function of the volume driven by the customer. In very … Read More
Webinar: Introducing AI/ML into Aerostructures
Aerospace belongs to explorers. We have been instrumental in pioneering innovative and complex technologies — and now, new methods fuse with old for entirely new processes that take us further than ever into the beyond.
In four 30-minute sessions, you will learn everything you need to know to begin implementing optimization… Read More
The Increasing Gaps in PLM Systems with Handling Electronics
Product LifeCycle Management (PLM) systems have shown incredible value for integrating the enterprise with a single view of the product design, deployment, maintenance, and end-of-life processes. PLM systems have traditionally grown from the mechanical design space, and this still forms their strength.
Meanwhile, due… Read More
Machine Learning in the Fab at #59DAC
It used to be true that a foundry or fab would create a set of DRC files, provide them to designers, and then the process yield would be acceptable, however if the foundry knows more details about the physical implementation of IC designs then they can improve the yield. Using a digital twin of the design, process and metrology steps… Read More
A Different Perspective: Ansys’ View on the Central Issues Driving EDA Today
For the past few decades, System-on-Chip (SoC) has been the gold standard for optimizing the performance and cost of electronic systems. Pulling together practically all of a smartphone’s digital and analog capabilities into a monolithic chip, the mobile application processor serves as a near-perfect example of an SoC. But… Read More
Podcast EP72: Analog AI/ML with Aspinity
Dan is joined by Tom Doyle, CEO of Aspinity. Dan explores the benefits of Aspinity’s analog signal processing technology with Tom. The ultra-low power analog computing capability delivered by Aspinity has significant implications for the design and deployment of AI/ML systems.
The views, thoughts, and opinions… Read More
Bespoke Silicon is Coming, Absolutely!
It was nice to be at a live conference again. DesignCon was held at the Santa Clara Convention Center, my favorite location, which to me there was a back to normal crowd. The sessions I attended were full and the show floor was busy. Masks and vaccinations were not required, maybe that was it. Or there was a pent-up demand to get back engaged… Read More
Optimizing AI/ML Operations at the Edge
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
More Than Moore and Charting the Path Beyond 3nm
The incredible growth that the semiconductor industry has enjoyed over the last several decades is attributed to Moore’s Law. While no one argues that point, there is also industry wide acknowledgment that Moore’s Law started slowing down around the 7nm process node. While die-size reductions still scale, performance jumps… Read More