Select Page
BI 021 Matt Botvinick: Neuroscience and AI at DeepMind

BI 021 Matt Botvinick: Neuroscience and AI at DeepMind

BI 021 Matt Botvinick: Neuroscience and AI at DeepMind

 
 
00:00 / 01:19:39
 
1X
 

Matt and I discuss his neuroscience and AI research at DeepMind, including how AI benefits from neuroscience, his work on meta-reinforcement learning to create systems that learn more efficiently, how meta-reinforcement learning might be implemented in a neural circuit involving the prefrontal cortex and the dopamine system, how theory of mind might be implemented in machines to help them understand each other and to help us understand them, and a lot more.

BI 020 Anna Wexler: Stimulate Your Brain?

BI 020 Anna Wexler: Stimulate Your Brain?

BI 020 Anna Wexler: Stimulate Your Brain?

 
 
00:00 / 01:09:04
 
1X
 

Anna and I discuss home and DIY use of neurotechnology- specifically transcranial direct current stimulation (tDCS) and electroencephalography (EEG) products marketed to improve cognition. We talk about who uses these products and for what (enhancement or self-treatment), how they get marketed, and the possibilities for how they may get regulated.

BI 019 Julie Grollier: Spintronic Neuromorphic Nano-Oscillators!

BI 019 Julie Grollier: Spintronic Neuromorphic Nano-Oscillators!

BI 019 Julie Grollier: Spintronic Neuromorphic Nano-Oscillators!

 
 
00:00 / 00:53:14
 
1X
 

Julie and I discuss her work using spintronic nano-devices to implement bio-inspired computing and neural networks in hardware. We talk about neuromorphic chips in general, their history, how they could solve the energy efficiency problem, where it’s all headed, some of the physics behind her nano-oscillators, and more.

BI 018 Dean Buonomano: Time in Brains and AI

BI 018 Dean Buonomano: Time in Brains and AI

BI 018 Dean Buonomano: Time in Brains and AI

 
 
00:00 / 01:06:03
 
1X
 

Dean and I talk about how time and duration is encoded in the brain, how he implemented timing and sequences using short-term synaptic plasticity, in neuronal cultures, and in recurrent neural networks. We also discuss the subjective nature of time, consciousness, and how time might be implemented in future general AI.

BI 017 Jeff Hawkins: Location, Location, Location

BI 017 Jeff Hawkins: Location, Location, Location

BI 017 Jeff Hawkins: Location, Location, Location

 
 
00:00 / 00:57:14
 
1X
 

Jeff and I discuss his new framework to understand how our cortex functions by building models of complete objects in all the cortical columns throughout the cortex. We also talk about his book On Intelligence, and I get his take on a number of other topics.