Brains and Machines

By Dr Sunny Bains

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Image by Dr Sunny Bains

Category: Technology

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Episodes: 37

Description

Curious to explore the technology advancing Artificial Intelligence beyond the usual headlines? Brains and Machines will introduce you to the people and ideas behind neuromorphic engineering, bio-inspired robotics, and other transformative technologies shaping AI’s future. From spiking neural networks and event-cameras to models of attention and mechanisms for prosthetic control, we investigate how machine cognition is moving forward.

Join Dr Sunny Bains, a scientist, journalist, and lecturer at University College London, as she talks to researchers, engineers, and computer scientists from across the field. With co-host, Dr Giulia D’Angelo from the Czech Technical University in Prague, and commentator Prof Ralph Etienne-Cummings from Johns Hopkins University in Baltimore, the post-interview discussion provides context and insight into the featured innovations.

Produced in conjunction with Electronic Engineering Times. Check out the EETimes Current podcast for more.

Dr D’Angelo gratefully acknowledges the support of the Marie Skłodowska-Curie Postdoctoral Fellowship.


Episode Date
Can the Nvidia Monopoly on AI Chips Be Broken?
Apr 27, 2026
Neuromorphic Spikes Unify Control and Decision Making
Apr 27, 2026
Green Always-On Sensing With Neuronova’s Sub-μwatt Chip?
Feb 26, 2026
An Architecture for Building Brains from Top to Bottom?
Jan 09, 2026
Artificial Hearing: From Ear Drums to Tuning Forks
Dec 09, 2025
A Theoretical Framework for Neuromorphic Technology?
Nov 07, 2025
Neurons Close the Loop from Insect Perception to Action
Nov 01, 2025
Can Neuromorphic Be Low-Power, Reconfigurable, and Scalable?
Oct 06, 2025
Event-Driven E-Skins Protect Both Robots and Humans
Aug 11, 2025
Digital Prototypes May Enable Analog Neuromorphic Chips
Jul 10, 2025
IBM Used Mathematics as Compass on Journey to NorthPole
Jun 07, 2025
Rippling Signals May Provide Working Memory in the Brain
May 05, 2025
Making Analog Chip Designs Without Analog Designers
Apr 06, 2025
BrainChip’s IP for Targeting AI Applications at the Edge
Mar 09, 2025
Robots Need Physical, Not Just Artificial, Intelligence
Feb 04, 2025
Embracing the Efficiency of the Neuromorphic Hairball
Jan 05, 2025
Chip Combines Analog and Digital Neurons for Sensor Data
Dec 13, 2024
Carver Mead Says Neuromorphic Efficiency Can Help AI
Nov 08, 2024
Next-Gen Neuromorphic Researchers Look to Future
May 31, 2024
SynSense Research Head Talks Combined Sensing, Processing
May 17, 2024
Half-Human–Scale SpiNNaker 2 Machine on Cloud in 2024
May 03, 2024
Bio-Inspired Networks to Interface With Nervous System
Apr 19, 2024
Choosing the Right Technologies for Hybrid AI Chips
Apr 05, 2024
Why Sound Processing Takes Time, Not Just Frequency
Mar 15, 2024
Algorithms Help Spiking Neural Networks Learn to Learn
Feb 16, 2024
Giving the Humanoid iCub Embodied, Neuromorphic Vision
Feb 09, 2024
Tobi Delbrück Talks Caltech, Cameras, and Neural Control
Jan 30, 2024
Ferroelectric Memristors and Exotic Materials to Drive AI
Jan 12, 2024
Perceiving Touch With Event-Based Neuromorphic Computing
Dec 15, 2023
How Memristors Will Help Machines Think at Different Timescales
Dec 12, 2023
ARM Inventor Steve Furber on SpiNNaker 1, 2 and Beyond
Nov 17, 2023
How to See ‘Where’ Through Low-Power Event Cameras
Oct 27, 2023
Seeing Robotics and Machine Vision as Dynamical Systems
Oct 13, 2023
Building Brain-Like Systems from Sub-Threshold Electronics
Oct 06, 2023
Understanding Real Brains with Robotic Rats, and Vice Versa
Sep 25, 2023
On-Chip Learning is Missing Neuromorphic Building Block
Sep 11, 2023
André van Schaik Discusses New Neuromorphic Simulator
Sep 01, 2023