The unsettled realities of modern automotive markets (BEV/HEV, ADAS/AD, radical views on how to make money) don’t only affect automakers. These disruptions also ripple down the supply chain prompting a game of musical chairs, each supplier aiming to maximize their chances of still having a chair (and a bigger chair) when the … Read More
I generally like to start my blogs with an application-centric viewpoint; what end-application is going to become faster, lower power or whatever because of this innovation? But sometimes an announcement defies such an easy classification because it is broadly useful. That’s the case for a recent release from Quadric, based… Read More
As artificial intelligence (AI) and machine learning (ML) models continue to evolve at a breathtaking pace, the demands on hardware for inference and real-time processing grow increasingly complex. Traditional hardware architectures for acceleration are proving inadequate to keep up with these rapid advancements in ML … Read More
I have observed before that the success of an AI engine at the edge rests heavily on the software interface to drive that technology. Networks trained in the cloud need considerable massaging to optimize for smaller and more specialized edge devices. Moreover, an AI task at the edge depends on a standalone pipeline demanding a mix… Read More
Performance, Power and Area (PPA) are the commonly touted metrics in the semiconductor industry placing PPA among the most widely used acronyms relating to chip development. And rightly so as these three metrics greatly impact all electronic products that are developed. The degree of impact depends of course on the specific … Read More
