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Amelia's Weekly Fish Fry
Amelia's Weekly Fish Fry
Author: EEJournal.com
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Description
Electronic Engineering News that's not for the faint of heart. EE Journal's Amelia Dalton presents this week's EE news in an informative, fun and engaging style and interviews top EE dignitaries from across the globe.
302 Episodes
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This week I’m thrilled to welcome back one of my absolute favorite guests: Dianne Kibbey, Senior Director of Community Strategy and Hackster.io at Avnet! Dianne and I explore why human developer communities are more critical today than ever before. We chat about how engineers can harness community-driven insights to tackle hardware design problems, draw lessons from real-world failures, and embrace cutting-edge technologies. We also dive into the latest developer initiatives and contests across the Hackster ecosystem, spanning from Edge AI design challenges to international hardware hackathons.
My podcast guest this week is Travis Bone from TASKING. Travis and I chat about their recent big win at the AWS "Accelerating the V-Cycle with Agentic AI" hackathon alongside partners Infineon and DLR. We explore how their governed, agentic AI workflow connects trusted hardware intelligence directly into the V-cycle, from automating compliance, test generation, and verification while keeping human engineers firmly in control.
This week we’re diving deep into the world of atomic-scale manufacturing and quantum engineering with Dr. Ludwik Kranz, Head of Quantum Engineering at Silicon Quantum Computing (SQC). Ludwik and I chat about how SQC is engineering quantum processors at the atomic scale, how to measure quantum computing progress beyond qubit count, and what applications could bring quantum computing closer to practical reality.
In this week’s podcast, we’re looking at the future of wireless engineering, and how agentic AI, digital twins, and 6G networks are coming together to change how we design, simulate, and operate connected systems. My guest week is Houman Zarrinkoub, Principal Product Manager of Wireless Communications at MathWorks. Houman and I explore why RF digital twins are moving beyond offline simulations and into live control loops, how engineering tools can keep errors and outdated data from cascading across connected systems, and how specialized AI “skills” can help keep autonomous agents within defined boundaries.
My guest this week is Tom Hazlett from sensiBel. Tom and I explore how sensiBel’s optical MEMS technology is reimagining what’s possible in acoustic performance. Tom and I will dive into how sensiBel’s optical MEMS architecture overcomes the classical constraints of legacy capacitive sensors, real-world applications where being able to detect those subtle sounds and vibrations could make a big difference and we’ll also examine the interesting intersection of acoustic sensing and AI that could open up some pretty interesting possibilities for machine perception.








