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.
Stricter guidelines imposed by version 3 of the IEC standard for harmonic current emissions push designers to embrace power-factor-correction methodologies.
The flyback topology is a versatile, widely used, switched-mode power-supply design with some interesting characteristics that brings performance and BOM advantages to many applications...
