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Brains and Machines

Dr Sunny Bains
Neuromorphic Engineering
Artificial Intelligence
Neuromorphic Computing
Spiking Neural Networks
Machine Learning
Memristors
Robotics
Innatera
Pattern Recognition
Sensor Data Processing
Low Power Applications
Neurobotics
Tactile Sensors
Biomedical Applications
Nanoscale Ferroelectrics
Field Programmable Analog Arrays
AI At the Edge
Edge Intelligence
Memory
Insect Cognition

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 ho... more

PublishesInfrequentlyEpisodes38Founded2 years ago
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Artwork for Brains and Machines

Latest Episodes

This latest episode of Brains and Machines features a panel discussion on neuromorphic engineering and physical computing held at the Atoms to Bits: The AlphaBet of Intelligence v2.0 conference at the University of Manchester, held in February 2026. ... more

In this latest episode of Brains and Machines, EE Times Senior Reporter Sally Ward-Foxton 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 chi... more

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 the University College London. They discuss the inspiration he took from studying biological... more

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 w... more

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Recent Guests

Damien Querlioz
Senior Research Director, neuromorphic computing
University of Paris-Saclay / Université Paris-Est? (as described)
Episode: Fixing AI’s Bottlenecks: Memory, Scale, and Sparsity
Julian Büchel
Research staff member
IBM Research, Zurich
Episode: Fixing AI’s Bottlenecks: Memory, Scale, and Sparsity
Tamalika Banerjee
Founder of IMchip; professor
University of Groningen / IMchip
Episode: Fixing AI’s Bottlenecks: Memory, Scale, and Sparsity
Maxence Ernoult
Senior Research Engineer
Google DeepMind
Episode: Fixing AI’s Bottlenecks: Memory, Scale, and Sparsity
Steve Furber
Emeritus Professor of Computer Engineering
University of Manchester
Episode: Fixing AI’s Bottlenecks: Memory, Scale, and Sparsity
Sally Ward-Foxton
AI hardware reporter for EE Times
EE Times
Episode: Can the Nvidia Monopoly on AI Chips Be Broken?
Rodolophe Sepulchre
Control theorist focused on neuromorphic engineering
University of Cambridge
Episode: Neuromorphic Spikes Unify Control and Decision Making
Alessandro Milozzi
CEO and co-founder of Neuronova
Neuronova
Episode: Green Always-On Sensing With Neuronova’s Sub-μwatt Chip?
Michele Mastella
CTO and co-founder of Neuronova
Neuronova
Episode: Green Always-On Sensing With Neuronova’s Sub-μwatt Chip?

Hosts

Sunny Bains
Co-host of Brains and Machines; Host/Interviewer; affiliated with University College London
Giulia D'Angelo
Co-host of Brains and Machines; Co-host; affiliated with Czech Technical University in Prague

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Can the Nvidia Monopoly on AI Chips Be Broken?
Q: Do you think the AI hardware ecosystem will diversify away from Nvidia, and what would be required to break a monopoly?
Breakthroughs in real-time latency, better software middleware, and successful large-scale deployments by firms like SpinCloud could demonstrate viable alternatives, but it requires a compelling value proposition beyond raw throughput, including ecosystem tooling and developer support.
Can the Nvidia Monopoly on AI Chips Be Broken?
Q: What is the middle ground between ultra-low-power neuromorphic edges and large-scale data-center machines, and is there room for mid-range technologies?
There is a gap that needs to be filled; middle-ground architectures could serve wearables and health-monitoring devices, suggesting a space for specialized hardware with a software stack that supports easy deployment and model portability.
Can the Nvidia Monopoly on AI Chips Be Broken?
Q: Can you walk us through how you assess chip power and efficiency across different AI workloads?
I compare top-of-wins and token-per-watt metrics but stress that these are highly application-dependent; I look at power envelopes like TDP for GPUs and the needs of edge devices to determine where a chip slots into the broader spectrum.
Artificial Hearing: From Ear Drums to Tuning Forks
Q: Can you explain the advantages of your artificial hair cells compared to conventional methods?
Our artificial hair cells allow us to decompose sound frequencies directly at the sensing stage, enhancing efficiency and enabling better performance in noisy environments.
IBM Used Mathematics as Compass on Journey to NorthPole
Q: How does North Pole optimize for energy and space efficiency?
By keeping memory on-chip and ensuring models fit within specific constraints while considering capital and operating costs.

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Frequently Asked Questions About Brains and Machines

What is Brains and Machines about and what kind of topics does it cover?

A deep dive into brain-inspired computing, neuromorphic hardware, and bio-inspired robotics, with a focus on how biological principles are translating into scalable, energy-efficient technologies. Conversations span cognitive modeling, spiking neural networks, event-based sensing, artificial hair cells for hearing, neural prosthetics, and the practical challenges of bringing these ideas from theory to hardware. A recurring strength is the blend of rigorous technical discussion with practical implications for real-world systems, often featuring leading researchers and engineers who bridge neuroscience, computer science, and electrical engineering. Noteworthy is the consistent emphasis on hardware-software co-design, energy efficiency, and th... more

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1. The Quanta Podcast
2. Dwarkesh Podcast
3. The a16z Show
4. The Ancients

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Brains and Machines launched 2 years ago and published 38 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Brains and Machines?

Recent guests on Brains and Machines include:

1. Damien Querlioz
2. Julian Büchel
3. Tamalika Banerjee
4. Maxence Ernoult
5. Steve Furber
6. Sally Ward-Foxton
7. Rodolophe Sepulchre
8. Alessandro Milozzi

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