EE Times Current – Details, episodes & analysis

Podcast details

Technical and general information from the podcast's RSS feed.

EE Times Current

EE Times On Air

News

Technology

News

Frequency: 1 episode/11d. Total Eps: 273

EE Times Current provides a deep dive into the most compelling stories in the electronics industry. Tune in to keep yourself current on what matters to design engineers and other tech industry professionals

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Apple

Data updated on 02/10/2026

Recent rankings

Latest chart positions across Apple Podcasts and Spotify rankings.

Apple Podcasts

🇩🇪 Germany - Tech News
02/10/2026
#87
🇩🇪 Germany - Tech News
01/10/2026
#63
🇺🇸 USA - Tech News
26/09/2026
#95
🇺🇸 USA - Tech News
20/09/2026
#78
🇺🇸 USA - Tech News
17/09/2026
#95
🇺🇸 USA - Tech News
07/09/2026
#86
🇺🇸 USA - Tech News
06/09/2026
#74
🇫🇷 France - Tech News
06/09/2026
#94
🇫🇷 France - Tech News
05/09/2026
#85
🇫🇷 France - Tech News
04/09/2026
#77

Spotify

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Shared links between episodes and podcasts

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https://engineering.jhu.edu/faculty/ralph-etienne-cummings/
30 shares
https://www.sunnybains.com/
29 shares
http://brainsandmachines.net/
24 shares

https://www.linkedin.com/in/giuliadangelo/
31 shares
https://www.linkedin.com/in/damienquerlioz/
1 share
https://www.linkedin.com/in/julian-buechel/
1 share

RSS feed quality and score

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RSS feed quality

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Score global : 38%

Publication history

Monthly episode publishing history over the past years.

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Latest published episodes

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Why Computing With Time Gives Neuromorphic AI an Edge

Friday, September 18, 2026 • Duration 57:03

In this month's Brains and Machines, Dr. Ryad Benosman discusses event-based vision, retinal prosthetics, and neuromorphic startups with Dr. Sunny Bains of University College London. A co-founder of Prophesee, he explains why he believes AI's future must come from neuromorphic engineering. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.

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Where Software Meets Silicon: A Digital Twin Playbook

Friday, September 4, 2026 • Duration 23:46

As systems become more software-defined, the traditional development model of waiting for hardware before serious software validation begins is no longer sustainable. Software teams need platforms earlier. Hardware teams need realistic workloads sooner. Verification teams need better ways to expose system-level issues before tapeout. We will look at how digital twins are becoming the shared foundation for this new HW/SW co-development model. Using virtual platforms, hardware emulation, and FPGA prototyping, teams can start earlier, collaborate more closely, and design/optimize/validate with greater confidence. We will also discuss new system-level verification challenges in power, performance, and DFT, showing how pre-silicon Hardware platforms can help teams find critical issues earlier and deliver more robust software-defined systems.

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Do Spikes Need Common Language for Sensing and Learning?

Tuesday, August 25, 2026 • Duration 01:00:49

On this month's episode of Brains and Machines, five engineers debate neuromorphic sensing and learning. Recorded at the Neuromorphic Hardware and Algorithms conference at the University of Sussex, the panel explores whether events and spikes are the right framework for integrating sensor modalities, motor control, and learning across systems. They also examine commercial directions and revisit the perennial question: what is neuromorphic engineering?

The panelists are:

Dr. Chiara Bartolozzi (Italian Institute of Technology)
Dr. Federico Corradi (Eindhoven University of Technology)
Dr. James Knight (University of Sussex)
Dr. Laura Kriener (Institute of Neuroinformatics, Zurich)
Dr. Sebastian Siegel (Peter Grünberg Institute, Jülich)

The session is chaired by Dr. Sunny Bains (University College London), followed by a discussion with Dr. Giulia D’Angelo (Czech Technical University in Prague) and Professor Ralph Etienne-Cummings (Johns Hopkins University).

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Designing the AI Factory from the Rack Up

Friday, August 21, 2026 • Duration 18:22

For years, AI infrastructure was measured at the scale of the data center. That's changed. In this episode, Neeraj Paliwal explains why the rack has become the indivisible unit of a modern AI system — designed as one system rather than a collection of servers — and why performance is no longer defined by the compute in any single box, but by how efficiently data moves, is stored, and is secured across the entire rack.

And getting there depends on co-designing the silicon, memory, interconnect, and packaging together, with the IP foundation turning concentrated power into usable compute.

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Beyond Automation: Self-Verifying AI Agents for Semiconductor and PCB Design

Friday, August 7, 2026 • Duration 23:24

As AI agents grow more capable, the question of trust becomes increasingly critical, especially in complex engineering environments like semiconductor and PCB design. Siemens EDA and NVIDIA are tackling that challenge head-on, combining deep EDA domain expertise with cutting-edge AI infrastructure to deliver a new generation of agentic AI capabilities for engineering teams.

In this episode, we sit down with Amit Gupta, Chief AI Strategy Officer at Siemens EDA, and Tim Costa, VP and GM of Industrial and Computational Engineering at NVIDIA, to explore how their collaboration is shaping the future of EDA workflows. Together, they discuss domain-scoped AI agents that don't just execute tasks but verify their own outputs using physics-based EDA software validation, purpose-built to support the demands of long-running engineering workflows.

We dig into what self-verifying agentic AI actually means in practice, what the Siemens and NVIDIA collaboration looks like under the hood, and what it delivers in terms of tool-calling reliability, token efficiency, result quality, and time-to-results for engineering teams working across the full EDA lifecycle.

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Can Great Sky’s Light-Connected AI Enable Bigger Brains?

Wednesday, July 22, 2026 • Duration 58:17

In this month’s Brains and Machines podcast, Dr. Jeff Shainline talks about superconducting neural hardware with Dr. Sunny Bains of University College London. Currently in development at Great Sky in Boulder, Colorado, the new systems will incorporate photonic interconnects and a neuromorphic approach to intelligence. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.

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Under the Hood of Intelligent Systems

Saturday, June 27, 2026 • Duration 32:28

Some of the most critical semiconductor innovation today sits beneath intelligent systems, where data moves, connects, and scales. As architectures become more distributed, sensor-rich, and AI-driven, challenges in bandwidth, latency, power, and interoperability intensify. In this episode, we unpack the interface technologies driving this evolution: from automotive SerDes to advanced imaging and next-gen connectivity.

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Will Photonics Loosen the Bottlenecks in Neural Systems?

Monday, June 8, 2026 • Duration 46:46

In this latest episode of Brains and Machines, Dr. Patty Stabile of the Eindhoven University of Technology chats with us about her optical neural networks with ultra-low-latency processing, and the semiconductor optical amplifiers that make them possible. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.

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When AI Gets a Body: Physical AI, Humanoids and the Future of Silicon

Friday, June 5, 2026 • Duration 41:52

In this episode of EE Times Current, we’ll dive into Physical AI — from humanoids and embodied agents to the chips, sensors, and systems that let machines see, move, and interact with us. Guiding us through this future of silicon is our host, Hezi Saar, Executive Director of Product Marketing at Synopsys. Hezi brings a front-row view of the semiconductor and AI landscape — and the people building it.

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Zonal Power: 48V Architectures for the Software Defined Vehicle

Friday, May 8, 2026 • Duration 34:32

With advanced safety features, sophisticated sensors, and personalized temperature controls, software-defined vehicles require more power than ever before. Traditional automotive power systems simply can’t keep up with the demand. As the industry moves toward the adoption of 48-volt technology, a zonal architecture will play a critical role in this transition. This podcast covers why auto industry is undergoing a big E/E transition and the zonal architecture fundamentals, covering 48V power architectures, zonal E/E architecture, software-defined vehicles (SDV), and how integrated solutions such as 48V e‑fuses enable this transition.

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EE Times Current – Details, episodes & analysis

Podcast details

Recent rankings

Apple Podcasts

Spotify

Shared links between episodes and podcasts

RSS feed quality and score

Publication history

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Related Shows Based on Content Similarities

Related Shows Based on Content Similarities

Apple Podcasts

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EE Times Current – Details, episodes & analysis

Podcast details

Recent rankings

Apple Podcasts

Spotify

Shared links between episodes and podcasts

Other38

LinkedIn7

RSS feed quality and score

Publication history

Latest published episodes

Similar podcasts and content

Related Shows Based on Content Similarities

Related Shows Based on Content Similarities

Other38

LinkedIn7

Apple Podcasts

Spotify