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Amelia's Weekly Fish Fry

Amelia's Weekly Fish Fry

Hosted by EEJournal.com

TechnologyNewsInterviews guests

Episodes

20

Latest episode

Jun 2026

Language

EN

About the show

EE Journal's Amelia Dalton breaks down each week's EE news in an informative, fun and engaging style.

Listen to episodes

20 recent
June 12, 2026Episode 50619 min

Reconfigurable Hardware: ElastixAI and The Future of Fast, Efficient AI Inference

Artificial intelligence is moving faster than ever, but as AI models continue to grow in size and complexity, the challenges surrounding inference performance are becoming impossible to ignore. In this week's podcast, ElastixAI CEO Dr. Mohammad Rastegari and I chat about how we can overcome those challenges and why a different approach to AI infrastructure is necessary for the next generation of AI innovation. We also explore the key bottlenecks limiting inference performance, how ElastixAI is tackling these issues, and why FPGAs are emerging as a compelling platform for accelerating large language model inference.

June 5, 2026Episode 50518 min

From IQSat to Artemis II: Aitech's Vision for Intelligent Spacecraft

Let’s go to space!!!! This week, we're diving into the cutting edge of AI in space with Pratish Shah of Aitech. Pratish and I discuss Aitech's IQSat -  the world's first AI-enabled picosatellite constellation platform, and how the shift to AI in space computing is changing the economics and timeline for collecting and analyzing data beyond Earth. We'll also cover the immense challenges of integrating high-performance AI into a harsh environment, the emerging capabilities from constellations like IQSat, and Aitech’s essential role in NASA’s Artemis II mission.

May 29, 2026Episode 50423 min

Democratizing Large-Scale AI: The Future of AI Hardware with Andy Hock from Cerebras

My podcast guest this week is Andy Hock, Chief Strategy Officer at Cerebras.  Andy and I are discuss the the revolutionary details of the Cerebras Wafer-Scale Engine (WSE). We also explore where the next major competitive frontier lies for AI hardware, how the latest WSE addresses the critical latency and energy efficiency challenges of deploying massive AI models for inference and Cerebras' role in democratizing access to large-scale AI research and deployment.

May 22, 2026Episode 50217 min

From Robotics to Remote Mining: How Private 5G Unlocks Physical AI

In this week’s podcast, we’re diving deep into the technology that is driving the next wave of enterprise digital transformation: Private 5G. My guest is Parm Sandhu, Group Vice President of Enterprise 5G Products and Services at NTT DATA, Inc. Parm and I chat about how NTT is tackling the biggest misconceptions businesses have about Private 5G today and what key considerations you need to keep in mind for a successful deployment. We also explore the crucial role of Private 5G connectivity in laying the groundwork for 'physical AI' and the strategic partnerships that are speeding up its deployment across industries.

May 15, 2026Episode 50313 min

AI in Safety-Critical Embedded Development: TASKING's New Approach to Verification and Validation

This week we're talking all about the future of embedded software development with TASKING Co-CEO Christoph Herzog. Christoph and I explore how Large Language Models and agentic AI are moving from novelty to necessity, directing external agents within the TASKING toolchain to automate critical verification and validation tasks. We also discuss the Model Context Protocol (MCP) and how it helps maintain adherence to strict industry standards.

May 8, 2026Episode 50121 min

The Future of RF: Digital Twins and the Elimination of System Integration Risks

In this week's podcast, we're diving deep into the world of RF system design! My guest is Giorgia Zucchelli from MathWorks. Giorgia and I explore what an RF digital twin is, how it revolutionizes the design and validation workflow, and how AI is playing a critical role in its development.

May 1, 2026Episode 50019 min

The Hidden Truths of AI Infrastructure: Why "Just Add GPUs" Always Fails

This week, we’re diving into the hidden challenges of AI infrastructure with David Driggers, CEO of Cirrascale. David and I chat about the surprising failure points that traditional data center planning often misses when it comes to large-scale AI deployments, why old assumptions about power, cooling, and networking simply don’t hold up anymore and why the “just add GPUs” strategy can be a recipe for disaster without a true systems-thinking approach. Also this week, I check out a massive breakthrough where physicists are using AI to uncover entirely new laws of nature!

April 24, 2026Episode 49921 min

Reshaping the Future of Data: How NTT and IOWN will Change How the World Communicates

Today, we're diving deep into the future of connectivity, networking, and computing with a look at a revolutionary concept: the Innovative Optical and Wireless Network, or IOWN. My podcast guest is Marco Provolo, Head of IOWN and NTT R&D Global Promotion Office. Marco and I discuss what IOWN is, why the shift from silicon to photonics is so crucial, how NTT is working with international partners to accelerate its adoption, and the most exciting applications we can expect to see in the near future.

April 17, 2026Episode 49817 min

Scaling Advanced Materials for the Future of Battery Manufacturing: An Interview with Joe Adiletta of Volexion

In this week’s podcast, we're stepping onto the frontier of battery innovation! My guest is Volexion CEO Joe Adiletta. Joe and I discuss why some battery materials perform great in a lab but fail in real world production, what “designing backward from the factory” means in terms of battery design and the role that manufacturing plays when it comes to the scaling of these kinds of advanced materials. Also this week, I check out a revolutionary memristor that can function at temperatures at 700 degrees Celsius.

April 10, 2026Episode 49716 min

Solving the Memory Wall: A Deep Dive into AI Inference with Sandra Rivera

This week, I'm excited to welcome Sandra Rivera from VSORA! We dive into a discussion on why AI inference is essential for deployment at scale, specifically focusing on how VSORA’s patented software architecture addresses the "memory wall" by collapsing memory layers. We explore their recent tape-out, which promises approximately 3X the performance at half the power of leading GPUs. We also chat about deployment use cases, the need for low latency and high determinism, future plans for OEM modules and MLPerf benchmarking, and even get a brief look into Sandra’s family llama farm.

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