Hyperscale Computing and CadenceAre you ready to handle zettabytes of data that will be transmitted through next-generation networks? Learn how to create hyperconnected and future-proofed networks, storage, and compute to speeds and capa...
02 May 2021
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Addressing Digital Implementation Challenges with Innovative Machine Learning TechniquesMachine learning is revolutionizing our designs these days with impressive new capabilities. But, have you considered using machine learning to actually create better designs? In this episode of Chalk Talk...
14 Feb 2020
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Cadence Academic Network - Chips to Study Natural Intelligence and to Build Artificial IntelligenceThe Institute of Neuroinformatics discusses how they used Cadence tools to process artificial heart beats, muscle movements, and nerve recordings to understand how brains compute.
12 Feb 2020
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Standalone AI Processor: Tensilica DNA 100 Processor IP for On-Device AIIn this week's Whiteboard Wednesdays episode, Megha Daga describes the new Tensilica DNA 100 Processor IP for on-device AI. This AI processor delivers industry leading high performance and power efficiency...
25 Jun 2019
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Significance of Sparsity in Neural NetworksIn this week’s Whiteboard Wednesdays video, Megha Daga discusses how handling sparsity positively affects bandwidth, performance, and power efficiency and why there is a need for sparsity. What is governed...
28 Mar 2019
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From TensorFlow to RTL in three monthsHear how in three months Machine Learning Ph. D student Myung Seok was able to learn how to take a TensorFlow model and move to RTL using Stratus High Level Synthesis for an image processing solution.
09 Nov 2018
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Tensilica Neural Network Compiler: Efficiently Deploy Neural NetworksIn this week’s Whiteboard Wednesdays video, Megha Daga describes how the Tensilica Neural Network Compiler works, from a trained floating-point network to an optimized source code generation for a Tensilic...
30 Oct 2018
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