CNN

March 26, 2019

High-level synthesis for AI: Part One

The computational and algorithmic demands made by computer vision systems highlight HLS' value for AI system development.
September 23, 2018
Gordon Cooper

Flexible embedded vision processing architectures for machine-learning applications

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.
Expert Insight  |  Topics: Embedded - Architecture & Design, IP - Selection  |  Tags: , ,   |  Organizations:
May 24, 2018
Gordon Cooper

The impact of AI on autonomous vehicles

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?
Expert Insight  |  Topics: Embedded - Architecture & Design, IP - Selection  |  Tags: , , ,   |  Organizations: ,
February 27, 2018
Gordon Cooper

Optimizing power and performance trade-offs in CNN implementations for embedded vision

High-performance vision-processing algorithms need optimized CNN engines to deliver the right performance within the power budget of embedded applications.
February 14, 2018
Michael Thompson is the senior manager of product marketing for the DesignWare ARC processors at Synopsys

Bringing AI into our lives

Using specialised processors to implement key AI computation tasks such as CNNs.
Expert Insight  |  Topics: Embedded - Architecture & Design, IP - Selection  |  Tags: , ,   |  Organizations:
June 29, 2017
Gordon Cooper

High-resolution visual recognition needs high-performance CNNs

Quadrupling the performance of a dedicated CNN engine within an embedded vision processing core brings more complex graph processing within reach.
Expert Insight  |  Topics: Embedded - Architecture & Design, IP - Selection  |  Tags: , , , , ,   |  Organizations:
April 4, 2017

Teaching computers to recognize a smile (or frown, or grimace or…)

Using deep learning techniques and convolutional neural networks to bring facial recognition capabilities to embedded systems.
July 28, 2016
Michael Thompson is the senior manager of product marketing for the DesignWare ARC processors at Synopsys

A vision of autonomous driving

Enabling autonomous driving will demand embedded processors that can process multiple HD video streams and analyse them using convolutional neural networks.
Expert Insight  |  Topics: IP - Selection  |  Tags: , ,

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