Brains and Machines
Dr Sunny Bains
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.
Episodes
Mentioned books
Dec 9, 2025 • 51min
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, she talks to Dr. Sunny Bains of University College London about the advantages of the approach and how it could be applied to speech processing in AI. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.
Nov 7, 2025 • 55min
A Theoretical Framework for Neuromorphic Technology?
Sunny talks to Dr Brad Aimone from Sandia National Laboratories who works with the world’s biggest neuromorphic platforms. He explains how this allows him to think deeply about what such platforms are good for and how we might be able to get to a theory of neuromorphic computational power. After the interview, discussion follows with Giulia and Ralph.
Nov 1, 2025 • 44min
Neurons Close the Loop from Insect Perception to Action
Sunny talks to Prof Barbara Webb from the University of Edinburgh in Scotland, who uses physical robots to validate neural mechanisms in crickets, ants, and bees. She talks about her work inspired by the philosophy that biological cognition can only be truly understood by building complete sensory-motor loops that work in the real world. After the interview, discussion follows with Giulia and Ralph.
Oct 6, 2025 • 50min
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’s now one of the leaders of the Neuromorphic Commons hub, also known as Thor, which will give the wider community access to neuromorphic hardware and simulators. In this episode of Brains and Machines, he talks to Dr. Sunny Bains of University College London about his approach to making systems that use minimal energy, are highly interconnected at all levels, and are surprisingly flexible. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.
Aug 11, 2025 • 47min
Event-Driven E-Skins Protect Both Robots and Humans
Professor Gordon Cheng builds humanoid robots that can feel their environment using artificial skin. In this episode of Brains and Machines, he talks to Dr. Sunny Bains of University College London about how the skin was designed, how it improves safety, and why neuromorphic engineering will be important for machine autonomy. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.
Jul 10, 2025 • 52min
Digital Prototypes May Enable Analog Neuromorphic Chips
Dr. Charlotte Frenkel from the Technical University of Delft set records with a low-power neuromorphic chip she designed as part of her Ph.D. In this episode of Brains and Machines, she talks to Dr. Sunny Bains of University College London about what she has learned about building simplicity into chips and integrity into benchmarks. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.
Jun 7, 2025 • 49min
IBM Used Mathematics as Compass on Journey to NorthPole
Dharmendra Modha’s TrueNorth chip added the word neuromorphic to the technorati lexicon back in 2014. In this episode of Brains and Machines, he talks to Dr. Sunny Bains of University College London about how that project led to his work on NorthPole and the axiomatic approach he took to design. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.
May 5, 2025 • 50min
Rippling Signals May Provide Working Memory in the Brain
For 50 years Dr. Terry Sejnowski has modelled the brain and used his insights to help inform AI. In this episode of Brains and Machines, he talks to Dr. Sunny Bains of the University College London about how information flows both ways between neuroscience and engineered intelligence, proposes a new way of looking at memory and considers the Hopfield-Hinton Nobel Prize. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.
Apr 6, 2025 • 47min
Making Analog Chip Designs Without Analog Designers
Dr. Jennifer Hasler of Georgia Tech is best known for her work with field programmable analog arrays (FPAAs). In this episode of Brains and Machines, she talks about the importance of, and progress in, analog electronics for AI with Dr. Sunny Bains of the University College London. Discussion follows with Dr .Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.
Mar 9, 2025 • 46min
BrainChip’s IP for Targeting AI Applications at the Edge
Tony Lewis, the CTO of BrainChip, shares insights on groundbreaking neuromorphic technology. He discusses the strategic evolution of BrainChip's AI focus, emphasizing the innovative Temporal Event-Based Neural Networks that enhance efficiency. The conversation delves into the Akida chip's future iterations and its role in advanced AI applications, especially for autonomous driving. Additionally, the advantages of recurrent neural networks and event-based processing are explored, showcasing their potential in real-time prediction and parallel processing for cutting-edge neural applications.
