deep learning

February 29, 2024
TCP-Net Featim

TCP-Net and TCP-Net++ – a revolution in regression testing

TCP-Net is Test Case Prioritization using End-to-End Deep Neural Networks and addresses the challenges of today's software-rich projects.
Article  |  Topics: EDA - DFT  |  Tags: , , , ,   |  Organizations:
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.
January 28, 2019

Emulation for AI: Part Two

The second part of this feature looks at how Wave Computing's objectives with its dataflow processing unit for AI mapped to the use of emulation in its development.
January 25, 2019

Emulation for AI: Part One

An increasing number of AI players are building their own silicon and finding that emulation is key to overcoming the major challenges.
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: ,
May 4, 2018
Dr Lauro Rizzatti is a verification consultant and industry expert on hardware emulation.

Cutting through the AI hype with OneSpin’s Raik Brinkmann

Lauro Rizzatti gets a reality check on AI for both design tools and designs themselves from the formal verification specialist.
Expert Insight  |  Topics: EDA - Verification  |  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.
May 23, 2016
Road signs used to train IDSIA neural network

Bit width tweaks point way to practical deep learning

In both data centers and automobiles deep learning is taking hold. But it is a technique that challenges conventional microprocessors, leading system designers to look at alternative architectures for acceleration.

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