Sign up to save your podcasts
Or
Share BI 125 Doris Tsao, Tony Zador, Blake Richards: NAISys
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
BI 125 Doris Tsao, Tony Zador, Blake Richards: NAISys
Support the show to get full episodes, full archive, and join the Discord community.
Doris, Tony, and Blake are the organizers for this year's NAISys conference, From Neuroscience to Artificially Intelligent Systems (NAISys), at Cold Spring Harbor. We discuss the conference itself, some history of the neuroscience and AI interface, their current research interests, and a handful of topics around evolution, innateness, development, learning, and the current and future prospects for using neuroscience to inspire new ideas in artificial intelligence.
- From Neuroscience to Artificially Intelligent Systems (NAISys).
- Doris:
- @doristsao.
- Tsao Lab.
- Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons.
- Tony:
- @TonyZador.
- Zador Lab.
- A Critique of Pure Learning: What Artificial Neural Networks can Learn from Animal Brains.
- Blake:
- @tyrell_turing.
- The Learning in Neural Circuits Lab.
- The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning.
0:00 - Intro
4:16 - Tony Zador
5:38 - Doris Tsao
10:44 - Blake Richards
15:46 - Deductive, inductive, abductive inference
16:32 - NAISys
33:09 - Evolution, development, learning
38:23 - Learning: plasticity vs. dynamical structures
54:13 - Different kinds of understanding
1:03:05 - Do we understand evolution well enough?
1:04:03 - Neuro-AI fad?
1:06:26 - Are your problems bigger or smaller now?
View all episodes
By Paul Middlebrooks
4.8
134134 ratings
Support the show to get full episodes, full archive, and join the Discord community.
Doris, Tony, and Blake are the organizers for this year's NAISys conference, From Neuroscience to Artificially Intelligent Systems (NAISys), at Cold Spring Harbor. We discuss the conference itself, some history of the neuroscience and AI interface, their current research interests, and a handful of topics around evolution, innateness, development, learning, and the current and future prospects for using neuroscience to inspire new ideas in artificial intelligence.
- From Neuroscience to Artificially Intelligent Systems (NAISys).
- Doris:
- @doristsao.
- Tsao Lab.
- Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons.
- Tony:
- @TonyZador.
- Zador Lab.
- A Critique of Pure Learning: What Artificial Neural Networks can Learn from Animal Brains.
- Blake:
- @tyrell_turing.
- The Learning in Neural Circuits Lab.
- The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning.
0:00 - Intro
4:16 - Tony Zador
5:38 - Doris Tsao
10:44 - Blake Richards
15:46 - Deductive, inductive, abductive inference
16:32 - NAISys
33:09 - Evolution, development, learning
38:23 - Learning: plasticity vs. dynamical structures
54:13 - Different kinds of understanding
1:03:05 - Do we understand evolution well enough?
1:04:03 - Neuro-AI fad?
1:06:26 - Are your problems bigger or smaller now?
More shows like Brain Inspired
View all
Very Bad Wizards
2,673 Listeners
Nature Podcast
761 Listeners
The Quanta Podcast
523 Listeners
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
431 Listeners
Philosophy For Our Times
315 Listeners
Future of Life Institute Podcast
107 Listeners
The Good Fight
900 Listeners
The Michael Shermer Show
931 Listeners
Big Brains
480 Listeners
Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas
4,152 Listeners
The Origins Podcast with Lawrence Krauss
504 Listeners
Machine Learning Street Talk (MLST)
90 Listeners
Dwarkesh Podcast
505 Listeners
Clearer Thinking with Spencer Greenberg
139 Listeners
The Joy of Why
491 Listeners