Embedded Topics

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.
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August 2, 2018
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Managing the evolving architecture of integrated ADAS controllers

Designers need to understand how the architecture of electronic control units used to implement ADAS in vehicles is changing.
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June 20, 2018

Bringing Ethernet time-sensitive networking to automotive applications

An evolution of the Ethernet standard enable time-sensitive networking with the predictable latencies and guaranteed bandwidth necessary for automotive applications.
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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.
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?
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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.
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April 9, 2018

Keeping up with the bandwidth demands of embedded displays

Increasing resolutions and rising frame rates are making it more challenging than ever to drive embedded displays effectively.
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March 1, 2018

Driving 4K smartphone and AR/VR device displays

How to combine a display processing unit from one company and a MIPI Display Serial Interface solution from another to build 4K embedded displays for smartphones and AR/VR devices.
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February 27, 2018
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Tackling the design challenges of PCIe 5.0

Moving up to PCIe 5.0 speeds demands rethinking everything from silicon design through choice of PCB material and connectors up to track layout and validation.
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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.
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