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.
Learn how Rohde & Schwarz's cutting-edge solutions can help you meet tomorrow’s challenges today and ensure you're ready for what’s next. Download your copy now to explore the...
Using the high-performance Arm® Cortex®-M33 core with TrustZone®, the RA6M5 Group MCU is also equipped with Secure Crypto Engine that offers Secure Element functionality. These...
Electromagnetic compatibility (EMC) testing is essential for ensuring compliance with a wide range of standards, regardless of whether you're developing 5G devices, automotive...
Integrating USB Type-C connectors into designs requires developers pay careful attention to proper connector options and recommended layout guidelines.