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Fast Times in Supply and Demand: How the EDDI Report Can Help Determine How Difficult Sourcing Will Be

“What gets measured gets improved.”  – Peter Drucker

In this week’s Fish Fry podcast, Daniel Schoenfelder from Altium joins me to discuss the EDDI (Electronic Design to Delivery Index) report, how it can help you source components for your next design and what it can tell us about where the supply chain stands today.  Also this week, I take a closer look at a new machine learning algorithm developed by the U.S. Department of Energy’s Argonne National Laboratory that can predict how long a lithium-ion battery will last.

 

Click here to download this episode

Links for July 15, 2022

Subscribe to the Electronic Design to Delivery Index (EDDI)

Researchers now able to predict battery lifetimes with machine learning
( U.S. Department of Energy’s Argonne National Laboratory)

Feature engineering for machine learning enabled early prediction of battery lifetime (ScienceDirect)

 

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Shishpal Rawat, Chairman – Accellera Systems Initiative

Kevin Bromber, CEO – myDevices

Daniel Hansson, CEO – Verifyter

Mark Papermaster, CTO – AMD

David Fried, CTO – Coventor

Dr. Steven LeBoeuf, President – Valencell

David Dutton, CEO – Silvaco

Bob Niemiec, CEO – TwistThink

Allan Martinson, COO – Starship Technologies

Zhihong Liu, Chairman and CEO – ProPlus Solutions

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Carl Alberty, Vice President – Cirrus Logic

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Dale Dougherty and Sherry Huss, Co-Founders – Maker Faire

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Mung Chiang, EVP and Dean of Engineering College – Purdue University

Clay Johnson, CEO – CacheQ

Andy Hock, Vice President, Product – Cerebras Systems

Dan Goehl, Co-founder and Chief Business Officer – UltraSense Systems

Charlie Green, Chief Operating & Technical Officer – Powercast

 

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