Providing AI designers with an environment to jumpstart their projects with resources from IP libraries to full toolkits with real working designs.
As teams create custom machine learning acceleration blocks in C++, they often employ a High-Level Synthesis flow to quickly find power and performance solutions. But tools alone cannot jumpstart these projects. What they need is an ecosystem that provides support, ideas, and direction for their projects. Learn about the AI accelerator ecosystem in this white paper which includes valuable IP blocks, fully-working design toolkits, system integration automation, and a myriad of supporting elements, like training and consulting to get the next machine learning project off to a fast start.
This article describes the advantages of open-loop sensors over closed-loop current sensors. Examples of LEM and Honeywell open-loop sensors are described.
Explore how software-defined vehicles with zone architectures enable smarter, safer, and more efficient vehicles by centralizing software, decoupling hardware, and unlocking updates...
