Expert Insights

Paul Dempsey  |  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.
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:   |  
Dana Neustadter  |  October 16, 2018

Why AI needs security

As AI becomes pervasive in computing applications, so too does the need for high-grade security in all levels of the system.
Topics: IP - Selection  |  Tags: , ,   |  Organizations:   |  
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:   |  
Dina Medhat  |  August 13, 2018

Managing waivers in reliability verification

Dina Medhat describes what you need to know about the types of waiver strategy that can be applied.
Ruud Derwig  |  July 11, 2018

Picking the right-sized crypto processor for your SoC

Choosing the right crypto processor implementation involves a complex set of design tradeoffs between speed, area, power consumption and flexibility. Using consistent benchmarks can help explore your options.
Topics: IP - Selection  |  Tags: , , , ,   |  Organizations: ,   |  
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.

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