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PODCAST

Brains and Machines

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

technology physics

All Episodes

49:37

Can Neuromorphic Be Low-Power, Reconfigurable, and...

Brains and Machines ·

2025/10/06

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,

en-US

46:41

Event-Driven E-Skins Protect Both Robots and Humans

Brains and Machines ·

2025/08/11

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.

en-US

51:41

Digital Prototypes May Enable Analog Neuromorphic Chips

Brains and Machines ·

2025/07/10

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.

en-US

48:56

IBM Used Mathematics as Compass on Journey to NorthPole

Brains and Machines ·

2025/06/07

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.

en-US

50:12

Rippling Signals May Provide Working Memory in the Brain

Brains and Machines ·

2025/05/05

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

en-US

47:19

Making Analog Chip Designs Without Analog Designers

Brains and Machines ·

2025/04/06

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.

en-US

46:03

BrainChip’s IP for Targeting AI Applications at the Edge

Brains and Machines ·

2025/03/09

Tony Lewis, CTO for BrainChip, and four other key scientists talk to Sunny Bains of the University College London. They discuss their business strategy, their temporal event-based neural network (TENN), and the next iteration of the Akida chip. Discussion follows with Giulia D’Angelo from the Czech Technical University in Prague and Ralph Etienne-Cummings of Johns Hopkins University.

en-US

47:36

Robots Need Physical, Not Just Artificial, Intelligence

Brains and Machines ·

2025/02/04

In this episode of Brains and Machines, emeritus Professor Rodney Brooks of Massachusetts Institute of Technology, currently CTO of Robust AI, talks about bottom-up and top-down approaches to robotics and AI with Dr. Sunny Bains of 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.

en-US

46:47

Embracing the Efficiency of the Neuromorphic Hairball

Brains and Machines ·

2025/01/05

In this new episode of Brains and Machines, Dr. Katie Schuman of the University of Tennessee explains the advantages of evolutionary approaches in neural processing to Dr. Sunny Bains of 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.

en-US

47:36

Chip Combines Analog and Digital Neurons for Sensor Data

Brains and Machines ·

2024/12/13

In this episode of Brains and Machines, UCL’s Sunny Bains talks to four key figures at Innatera, a spin out from the University of Delft in the Netherlands: Dr Petrut Bogdan, Neuromorphic Architect; Dr Amir Zjajo, Chief Scientific Officer; Vasile Toma, Vice President for Engineering; and Dr Sumeet Kumar, Chief Executive Officer. They are hoping that their latest spiking neural network chip will become AI of choice for people working on sensor applications. Discussion follows with Dr. Giulia

en-US

64:49

Carver Mead Says Neuromorphic Efficiency Can Help AI

Brains and Machines ·

2024/11/08

In this episode of Brains and Machines, UCL’s Sunny Bains talks parallelism, neural net efficiency and risk taking with Caltech’s Prof. Carver Mead. Now an emeritus professor, Mead has been instrumental in the development of chip design, and was one of the first employees of Noyce and Moore, which later became Intel. He’s also one of the founders of the field of neuromorphic engineering. Discussion follows with Dr. Giulia D’Angelo Marie Curie Fellow at The Czech Technical University in Prague, and

en-US

11 results

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