neural networks

January 25, 2019

Optimizing the hardware implementation of machine learning algorithms

Optimizing the way in which machine learning algorithms are implemented in hardware will be a major differentiator for SoCs, especially for edge devices.
October 3, 2018
Allen Watson of Synopsys

An open-source framework for greater flexibility in machine-learning development

Exchange frameworks are emerging to make it easier for neural-network developers to swap between development environments.
Expert Insight  |  Topics: Embedded - Architecture & Design, EDA - ESL  |  Tags: , , ,   |  Organizations: , , , , ,
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:
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.

PLATINUM SPONSORS

Synopsys Cadence Design Systems Siemens EDA
View All Sponsors