Can Great Sky’s Light-Connected AI Enable Bigger Brains?
In this month’s Brains and Machines podcast, Dr. Jeff Shainline talks about superconducting neural hardware with Dr. Sunny Bains of Universi...
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EETimes On Air
EETimes On Air is the audial digest of EETimes, presenting a thirty-minute deep-dive on the most compelling stories in electronics. Featuring subject matter experts from all corners of the i...
EETimes On Air Podcast Guide
Listen to EETimes On Air, a Technology podcast by EE Times On Air. Stream 271 episodes in English, follow new audio stories, and play episodes online on Radio and Podcast.
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20 of 271 episodesUnder the Hood of Intelligent Systems
Some of the most critical semiconductor innovation today sits beneath intelligent systems, where data moves, connects, and scales. As archit...
Will Photonics Loosen the Bottlenecks in Neural Systems?
In this latest episode of Brains and Machines , Dr. Patty Stabile of the Eindhoven University of Technology chats with us about her optical...
When AI Gets a Body: Physical AI, Humanoids and the Future of Silicon
In this episode of EE Times Current, we’ll dive into Physical AI — from humanoids and embodied agents to the chips, sensors, and systems tha...
Zonal Power: 48V Architectures for the Software Defined Vehicle
With advanced safety features, sophisticated sensors, and personalized temperature controls, software-defined vehicles require more power th...
Fixing AI’s Bottlenecks: Memory, Scale, and Sparsity
This latest episode of Brains and Machines features a panel discussion on neuromorphic engineering and physical computing held at the Atoms...
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...
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 initia...
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...
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 au...
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. Sunn...
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 e...
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 o...
The State of Multi-Die: Insights and Customer Requirements
In this episode, we look at the changing landscape of multi-die design, highlighting how the industry is addressing current challenges and o...
Artificial Hearing: From Ear Drums to Tuning Forks
Dr. Claudia Lenk’s group creates brain-inspired hearing systems with micromechanical hair cells. In this episode of Brains and Machines , sh...
Calibre Directions in Artificial Intelligence
In this episode, we’ll explore Siemens EDA’s innovative approach to AI and dive into Calibre-specific topics. We’ll discuss when to use Cali...
A Theoretical Framework for Neuromorphic Technology?
Brad Aimone from Sandia National Labs works with the world’s biggest neuromorphic platforms. In this episode of Brains and Machines , he tal...
Neurons Close the Loop from Insect Perception to Action
Professor Barbara Webb from the University of Edinburgh in Scotland uses physical robots to validate neural mechanisms in crickets, ants, a...
Accelerating Complex Analog IC Design: The Power of Early Reliability Verification
Today we’re talking about something that’s top-of-mind for a lot of you: closing the reliability gaps in increasingly complex analog and mix...
Can Neuromorphic Be Low-Power, Reconfigurable, and Scalable?
Professor Gert Cauwenberghs has been working toward building brain-scale systems for decades. At the University of California San Diego, he’...