#biologicalvision — Public Fediverse posts

I was interviewed by The Economist's Babbage podcast on their series, "The science that built AI" last month. My hour long conversation was edited to about six minutes!

I am glad they edited/fit my conversation as taking the perspective that this big data, big compute driven deep-net approach is orthogonal to human/biological vision. And that, without incorporating biological principles (in this case, vision), autonomous visual navigation systems (i.e., self-driving cars) are unlikely and/or limited.

Unfortunately, the podcast requires a subscription to The Economist (I too had to access it from my university account!). But if you do have access, let me know what you think!

https://open.spotify.com/episode/4adN2gVRkQctA55Q0xswiO

#Neuroscience #History #AI #Deepnets #BiologicalIntelligence #BiologicalVision #HumanVision #MachineVision #TheEconomist #Babbage #MachineLearning

I was interviewed by The Economist's Babbage podcast on their series, "The science that built AI" last month. My hour long conversation was edited to about six minutes!

I am glad they edited/fit my conversation as taking the perspective that this big data, big compute driven deep-net approach is orthogonal to human/biological vision. And that, without incorporating biological principles (in this case, vision), autonomous visual navigation systems (i.e., self-driving cars) are unlikely and/or limited.

Unfortunately, the podcast requires a subscription to The Economist (I too had to access it from my university account!). But if you do have access, let me know what you think!

https://open.spotify.com/episode/4adN2gVRkQctA55Q0xswiO

#Neuroscience #History #AI #Deepnets #BiologicalIntelligence #BiologicalVision #HumanVision #MachineVision #TheEconomist #Babbage #MachineLearning

I was an invited speaker at the Neurips conference in New Orleans in Dec 2023 for the NeuroAI social.

I was more than surprised to be invited to what is now primarily an AI/ML conference (despite "Neural" being the first word, and the conference's origins in comp neuroscience). To say that the successful AI systems currently deployed and neuroscience/study of biological intelligence have diverged would be an understatement, it was a somewhat odd choice for the organizers to invite a neurophysiologist like me.

So, I took the invite as an opportunity to talk about attention in biological vision and how whatever they now call as attention in AI/ML/CNN/transformers
is almost orthogonal to what many others and I study within visual neuroscience or psychology or cognitive science.

While the talk was a partial critique of current AI models, it was more a call for them to take seriously the one instance of intelligence (i.e., the biological world) seriously and how it still has much to offer towards designing better AI systems.

If attention is not one of the cognitive ingredients that makes up the intelligence recipe towards autonomous systems, I don't know what is.

The talk slides can be found here: https://www.dropbox.com/scl/fi/927f50bfvqpwtserizgl5/NeuroAI_Neurips_KS2023.pdf?rlkey=r3pgvsyoudwczapjijx80pj7l

#Neurips2023 #NeuroAI #Attention #Vision #BiologicalVision #ActiveVision #SpaceVariance #NonlinearCompression #EyeMovements #Neurodynamics #AutonomousSystems #AI #ML

I was an invited speaker at the Neurips conference in New Orleans in Dec 2023 for the NeuroAI social.

I was more than surprised to be invited to what is now primarily an AI/ML conference (despite "Neural" being the first word, and the conference's origins in comp neuroscience). To say that the successful AI systems currently deployed and neuroscience/study of biological intelligence have diverged would be an understatement, it was a somewhat odd choice for the organizers to invite a neurophysiologist like me.

So, I took the invite as an opportunity to talk about attention in biological vision and how whatever they now call as attention in AI/ML/CNN/transformers
is almost orthogonal to what many others and I study within visual neuroscience or psychology or cognitive science.

While the talk was a partial critique of current AI models, it was more a call for them to take seriously the one instance of intelligence (i.e., the biological world) seriously and how it still has much to offer towards designing better AI systems.

If attention is not one of the cognitive ingredients that makes up the intelligence recipe towards autonomous systems, I don't know what is.

The talk slides can be found here: https://www.dropbox.com/scl/fi/927f50bfvqpwtserizgl5/NeuroAI_Neurips_KS2023.pdf?rlkey=r3pgvsyoudwczapjijx80pj7l

#Neurips2023 #NeuroAI #Attention #Vision #BiologicalVision #ActiveVision #SpaceVariance #NonlinearCompression #EyeMovements #Neurodynamics #AutonomousSystems #AI #ML