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Building an AI Ecosystem: You Can’t Do it All By Yourself

Vizi-AI™ and The Next Generation of IIoT

We’re taking on industrial automation and AI at the edge in this week’s podcast! First, we take a closer look at a new deep-learning framework developed at UC Santa Cruz that can identify and classify galaxies and stars by analyzing astronomical image data pixel by pixel. Steve Cammish (VP of Edge Solutions, ADLINK) also joins us this week to discuss the biggest challenges of the artificial intelligence in the industrial arena and the details of the Vizi-AI™ Development Starter Kit for Industrial Machine Vision AI at the Edge.

 

 

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Fish Fry Executive Interviews

Anupam Bakshi, CEO – Agnisys

Dave Kleidermacher, CTO – Green Hills Software

Robert Blake, CEO – Achronix

Jack Harding, CEO – eSilicon

Michiel Ligthart, COO – Verific

Adnan Hamid, CEO – Breker Technologies

Simon Davidmann, CEO – Imperas

Ted Miracco, CEO – SmartFlow Compliance Solutions

Jessica Gomez – Rogue Valley Microdevices

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

Taher Madraswala, CEO and President – Open-Silicon

Kapil Shankar, CEO and Director – AnDAPT

Dan Fox, CTO – Local Motors

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With growing on-chip RF content, electromagnetic (EM) simulation of passives is critical — from selecting the right RF design candidates to detecting parasitic coupling. Being on-chip, accurate EM analysis requires a tie in to the process technology with process design kits (PDKs) and foundry-certified EM simulation technology. Anything short of that could compromise the RFIC’s functionality. Learn how to get the highest-in-class accuracy and 10X faster analysis.

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