With the adoption of artificial intelligence and machine learning in a wide variety of applications, reliability verification of AI/ML processors is critical since failures can have major consequences for the validity and legitimacy of AI/ML technology.
January 21, 2020 by Neel Natekar, Mentor
Historically, FPGAs have been challenging to work with. To combat that reputation, Xilinx developed programmable devices that simplify—and accelerate—the implementation of customized hardware development.
June 08, 2018 by Xilinx