March 26, 2019
The computational and algorithmic demands made by computer vision systems highlight HLS' value for AI system development.
September 23, 2018
Machine-learning strategies for embedded vision are evolving so quickly that designers need access to flexible, heterogenous processor architectures that can adapt as the algorithms evolve.
May 24, 2018
Many car manufacturers are exploring the possibilities of autonomous vehicles. But what will it take to build sufficient AI performance into them to enable true autonomy?
February 27, 2018
High-performance vision-processing algorithms need optimized CNN engines to deliver the right performance within the power budget of embedded applications.
February 14, 2018
Using specialised processors to implement key AI computation tasks such as CNNs.
June 29, 2017
Quadrupling the performance of a dedicated CNN engine within an embedded vision processing core brings more complex graph processing within reach.
April 4, 2017
Using deep learning techniques and convolutional neural networks to bring facial recognition capabilities to embedded systems.
July 28, 2016
Enabling autonomous driving will demand embedded processors that can process multiple HD video streams and analyse them using convolutional neural networks.