Insights from recent episode analysis
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Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
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Estimated from 2 chart positions in 2 markets.
By chart position
- 🇸🇬SG · Technology#883K to 10K
- 🇦🇹AT · Technology#197500 to 3K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
1.1K to 3.9K🎙 Daily cadence·20 episodes·Last published yesterday - Monthly Reach
Unique listeners across all episodes (30 days)
3.5K to 13K🇸🇬77%🇦🇹23% - Active Followers
Loyal subscribers who consistently listen
1.4K to 5.2K
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 17 epsHost
Recent guests
Recent episodes
Fish Fry Special Edition: 2026 International Women in Engineering Day
Jun 23, 2026
39m 41s
How We Can Leverage Digital Twins and AI for Next Generation Model-Based Systems Engineering
Jun 19, 2026
22m 32s
Reconfigurable Hardware: ElastixAI and The Future of Fast, Efficient AI Inference
Jun 12, 2026
19m 03s
From IQSat to Artemis II: Aitech's Vision for Intelligent Spacecraft
Jun 5, 2026
18m 40s
Democratizing Large-Scale AI: The Future of AI Hardware with Andy Hock from Cerebras
May 29, 2026
23m 00s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/23/26 |  Fish Fry Special Edition: 2026 International Women in Engineering Day | Welcome to our third annual International Women in Engineering Day Fish Fry podcast! My special guests are Laura Mirkarimi from Adeia, Angelica Davila from Penguin Solutions, and Madison Ecklund from Texas Instruments. In this special episode of Fish Fry, we discuss their journeys into the world of high tech, examine how the EE landscape has changed over the years and what they would like to see in the future of engineering. | 39m 41s | ||||||
| 6/19/26 |  How We Can Leverage Digital Twins and AI for Next Generation Model-Based Systems Engineering | In this week's podcast, I explore the evolution of model-based systems engineering with Becky Petteys from MathWorks. We chat about how high-fidelity digital twins help teams catch issues early, the growing importance of data science in modern design, and the practical ways AI is transforming MBSE workflows today. | 22m 32s | ||||||
| 6/12/26 |  Reconfigurable Hardware: ElastixAI and The Future of Fast, Efficient AI Inference✨ | artificial intelligenceinference performance+3 | Dr. Mohammad Rastegari | ElastixAI | — | AI modelsinference challenges+3 | — | 19m 03s | |
| 6/5/26 |  From IQSat to Artemis II: Aitech's Vision for Intelligent Spacecraft✨ | AI in spacepicosatellite technology+3 | Pratish Shah | IQSatAitech+1 | — | AIspacecraft+6 | — | 18m 40s | |
| 5/29/26 |  Democratizing Large-Scale AI: The Future of AI Hardware with Andy Hock from Cerebras✨ | AI hardwareCerebras+4 | Andy Hock | Cerebras Wafer-Scale EngineCerebras | — | AICerebras+5 | — | 23m 00s | |
| 5/22/26 |  From Robotics to Remote Mining: How Private 5G Unlocks Physical AI✨ | Private 5Genterprise digital transformation+4 | Parm Sandhu | NTT DATA, Inc. | — | Private 5Gdigital transformation+5 | — | 17m 02s | |
| 5/15/26 |  AI in Safety-Critical Embedded Development: TASKING's New Approach to Verification and Validation✨ | embedded software developmentAI in verification+3 | Christoph Herzog | TASKINGEEJournal.com | — | embedded developmentAI+5 | — | 13m 53s | |
| 5/8/26 |  The Future of RF: Digital Twins and the Elimination of System Integration Risks✨ | RF system designdigital twins+3 | Giorgia Zucchelli | MathWorks | — | RFdigital twin+3 | — | 21m 05s | |
| 5/1/26 |  The Hidden Truths of AI Infrastructure: Why "Just Add GPUs" Always Fails✨ | AI infrastructuredata center planning+5 | David Driggers | Cirrascale | — | AI infrastructuredata centers+7 | — | 19m 32s | |
| 4/24/26 |  Reshaping the Future of Data: How NTT and IOWN will Change How the World Communicates✨ | connectivitynetworking+3 | Marco Provolo | NTTInnovative Optical and Wireless Network | — | IOWNNTT+3 | — | 21m 54s | |
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| 4/17/26 |  Scaling Advanced Materials for the Future of Battery Manufacturing: An Interview with Joe Adiletta of Volexion✨ | battery innovationadvanced materials+3 | Joe Adiletta | VolexionEEJournal.com | — | battery manufacturingadvanced materials+3 | — | 17m 22s | |
| 4/10/26 |  Solving the Memory Wall: A Deep Dive into AI Inference with Sandra Rivera✨ | AI inferencememory wall+4 | Sandra Rivera | VSORAEEJournal.com | — | AI inferencememory wall+5 | — | 16m 40s | |
| 4/3/26 |  ChipStack AI Super Agent: Cadence’s New Era for Silicon Verification✨ | artificial intelligenceelectronic design automation+3 | Rob Knoth | ChipStack AI Super AgentCadence Design Systems | — | ChipStack AI Super AgentCadence Design Systems+3 | — | 19m 02s | |
| 3/20/26 |  Powering AI: Ferric’s IVR Revolution for High‑Performance Processors✨ | AI processorspower efficiency+4 | Noah Sturcken | Ferric | — | AIpower delivery+5 | — | 16m 38s | |
| 3/13/26 |  Driving the Code: Where the Rubber Meets the Software-Defined Road✨ | software-defined systemsautomotive industry+5 | Nitish Rao | MathWorks | — | software-defined systemsautomotive+5 | — | 15m 33s | |
| 3/6/26 |  It Simply Works! SEGGER, emApps, and the Future of Embedded Systems Development✨ | embedded systemsRTOS+4 | Rolf Segger | SEGGER | — | embedded systemsSEGGER+5 | — | 21m 16s | |
| 2/27/26 |  From High‑Mix Production to Humanoids: Robotiq’s Push for Accessible Automation✨ | collaborative roboticshuman-robot interaction+3 | Jen Kwiatkowski | Robotiq | — | robotsgrippers+5 | — | 19m 07s | |
| 2/20/26 |  Tensilica HiFi iQ DSP: Voice AI Meets Immersive Automotive Audio✨ | high-performance audiovoice AI+3 | Amol Borkar | Tensilica HiFi iQ DSPCadence | — | Tensilica HiFi iQ DSPvoice AI+3 | — | 24m 32s | |
| 2/13/26 |  Revolution at the Speed of Light: How PhotonDelta Building a Global Photonics Ecosystem✨ | photonicstechnology+5 | Dr. Abdul Rahim | PhotonDelta | — | photonicsphotonic chips+5 | — | 21m 22s | |
| 2/6/26 |  The Trifecta of 2026: AI Agents, Hybrid Wireless, and the Future of Embedded Engineering | In this week’s podcast, we’re exploring the three trends poised to redefine how we design, simulate, and deploy complex systems in 2026 and beyond: agentic AI and the model context protocol for tool integration, hybrid terrestrial and non‑terrestrial wireless networks, and moving AI onto embedded hardware using virtual sensing and reduced‑order models. My guests, Seth DeLand and Houman Zarrinkoub from MathWorks, and I explore the practical problems in engineering workflows driving interest in agentic AI, the engineering challenges of hybrid terrestrial and non‑terrestrial wireless networks, and how smaller AI models can enable faster simulation and real‑time system responses. | 18m 42s | ||||||
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Chart Positions
2 placements across 2 markets.
Chart Positions
2 placements across 2 markets.