Expert Insights - Embedded

Paul Dempsey  |  June 18, 2019

The vocal persuader

In conversation with author and SEMICON West/ES Design West keynoter Bob Pearson on the challenges facing tech on external and internal communication.
Bob Smith  |  March 15, 2019

Enabling the move to a system-centric view

Bob Smith of the ESD Alliance describes how we can promote the ongoing evolution of the design ecosystem.
Morten Christiansen  |  November 5, 2018

Understanding USB 3.2 and Type-C

The basics of USB 3.2, how to implement it in an SoC, and how USB Type-C connectors and cables are used in USB 3.2 systems.
Topics: Embedded - Architecture & Design, IP - Selection  |  Tags: , ,   |  Organizations:   |  
Allen Watson  |  October 3, 2018

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.
Gordon Cooper  |  September 23, 2018

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.
Topics: Embedded - Architecture & Design, IP - Selection  |  Tags: , ,   |  Organizations:   |  
Vijay Chobisa  |  June 11, 2018

How emulation’s SoC and SoS advantages begin with transaction-based co-modeling

An introduction to how virtual emulation has fueled the application of co-modeling for complex design verification.
Gordon Cooper  |  May 24, 2018

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?
Topics: Embedded - Architecture & Design, IP - Selection  |  Tags: , , ,   |  Organizations: ,   |  
Steve Mensor  |  April 23, 2018

How eFPGAs will help build the brave new world of AI

Artificial intelligence and machine learning require the performance and flexibility offered by embedded FPGA (eFPGA) technology.
Gordon Cooper  |  February 27, 2018

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.
Luke Collins  |  February 14, 2018

Bringing AI into our lives

Using specialised processors to implement key AI computation tasks such as CNNs.
Topics: Embedded - Architecture & Design, IP - Selection  |  Tags: , ,   |  Organizations:   |  

PLATINUM SPONSORS

Synopsys Cadence Design Systems Mentor - A Siemens Business
View All Sponsors