EE Times Current
EE Times On Air
Show overview
EE Times Current has been publishing since 2018, and across the 8 years since has built a catalogue of 646 episodes. That works out to roughly 360 hours of audio in total. Releases follow a fortnightly cadence, with the show now in its 187th season.
Episodes typically run twenty to thirty-five minutes — most land between 23 min and 44 min — though episode length varies meaningfully from one episode to the next. None of the episodes are flagged explicit by the publisher. It is catalogued as a EN-language News show.
The show is actively publishing — the most recent episode landed yesterday, with 18 episodes already out so far this year. The busiest year was 2019, with 186 episodes published. Published by EE Times On Air.
From the publisher
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
Latest Episodes
View all 646 episodesBeyond PPA: How Foundation IP Enables Predictable Execution and Lower TCO for AI-Era SoCs
Why Computing With Time Gives Neuromorphic AI an Edge
Where Software Meets Silicon: A Digital Twin Playbook
Trust at Scale: The Next Challenge for AI-Driven Semiconductor Development
Do Spikes Need Common Language for Sensing and Learning?
Designing the AI Factory from the Rack Up
Beyond Automation: Self-Verifying AI Agents for Semiconductor and PCB Design
Can Great Sky’s Light-Connected AI Enable Bigger Brains?
Under the Hood of Intelligent Systems
Will Photonics Loosen the Bottlenecks in Neural Systems?
When AI Gets a Body: Physical AI, Humanoids and the Future of Silicon
Zonal Power: 48V Architectures for the Software Defined Vehicle
Fixing AI’s Bottlenecks: Memory, Scale, and Sparsity
Can the Nvidia Monopoly on AI Chips Be Broken?
In the latest episode of Brains and Machines, Sally Ward-Foxton of EE Times talks to Dr. Sunny Bains of the University College London. They discuss the importance of power in all AI systems, the benefit of having dedicated inference chips, and where neuromorphic fits into the market. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.
Automated Multiphysics for 3D IC Success
Challenges: power generates heat. Heat distorts wires and changes transistor behavior. A change in wires and transistors implies that initial power estimates were wrong.More and more designers are moving to heterogeneous architectures. This comes with new challenges as compared to the 2D domain. Come learn how the Calibre team can help achieve successful 3D IC design goals.
Neuromorphic Spikes Unify Control and Decision Making
In this latest episode of Brains and Machines, Professor Rodolphe Sepulchre, a control theorist from the University of Cambridge, talks to Dr. Sunny Bains of University College London. They discuss the inspiration he took from studying biological neurons, why both discrete and continuous behaviors are inherent to how they work, and why building neurons is often easier than simulating them.
Chips at the Edge: Innovation for AI at Edge and Automotive
Today, we’re diving into the fascinating world of edge AI, exploring its rapid evolution and its transformative impact on industries like automotive. With advancements in model efficiency and hardware capabilities, edge AI is reshaping design requirements for devices, particularly in balancing the critical factors of power, performance, and cost. Let’s set the stage and delve into how these trends are driving innovation at the edge.
Green Always-On Sensing with Neuronova’s Sub-μwatt Chip?
Neuronova is an analog neuromorphic startup based in Milan, Italy. In this episode of Brains and Machines, the CEO and CTO talk to Dr. Sunny Bains of University College London about their inference processor that idles at less than 10 nanowatts and what they hope to do with it. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.
An Architecture for Building Brains from Top to Bottom?
Professor Chris Eliasmith is a computer scientist and philosopher who’s been modelling cognitive systems for almost three decades. In this episode of Brains and Machines, he talks to Dr. Sunny Bains of University College London about his neural engineering framework and the semantic pointer architecture his team have developed to implement it. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.
Tracking & Locationing Technologies from Renesas
Dive into the evolving world of asset tracking and locationing with Renesas!Explore what ‘locationing’ really means in the evolving space of asset management, how to leverage the various cutting-edge Renesas locationing technologies to gain visibility and control over your assets, and how Renesas as a field-proven leader within this technology space can empower you and your customers to move from simple tracking to intelligent, real-time locationing.