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.
Explore Raspberry Pi’s imaging and AI tools in this free webinar with expert insights from Naushir Patuck. Register now to attend live or watch the recording later.
Whether you’re a beginner or an enthusiast, our free pocket guide, spanning roughly 60 pages, offers a broad insight into satellite technologies in one handy place. From clear...
This white paper describes the basic functionality of antennas. Starting with Hertz's Antenna model followed by a short introduction to the fundamentals of wave propagation, the...
