#babbage — Public Fediverse posts

Tal día como hoy de 1812 #Babbage, #Herschel y #Peacock fundaron una sociedad para modernizar las #matemáticas abandonando la notación de #Newton para él cálculo y adoptando la de #Leibniz. Dos siglos más tarde los matemáticos se siguen tirando de los pelos cuando ven a #físicos manejar #diferenciales.

#física #matemáticas #mates

https://bsky.app/profile/evocid.bsky.social/post/3mlddphzons2r

Neu und #openaccess bei @transcriptweb zur #technikgeschichte der #datenverarbeitung , mit einem Beitrag von mir zur Verbindung von #deprony , #babbage / #lovelace und #turing – Ganz lieben Dank an Volker Köhler an der @tudarmstadt
– https://www.transcript-verlag.de/978-3-8376-8253-3/rechnen-zeichnen-reden/ –

Modern Computing’s Roots or The Manchester Baby - In the heart of Manchester, UK, a groundbreaking event took place in 1948: the fir... - https://hackaday.com/2025/03/19/modern-computings-roots-or-the-manchester-baby/ #manchesterbaby #computerhacks #manchester #vonneumann #history #babbage #eniac

Modern Computing’s Roots or The Manchester Baby https://hackaday.com/2025/03/19/modern-computings-roots-or-the-manchester-baby/ #manchesterbaby #computerhacks #manchester #vonneumann #History #babbage #eniac

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 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 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

@2ndStar @phranck

Hier ist noch der Link zum Interview mit Anton #Zeilinger, dem letztjährigen #PhysikNobelpreisträger:

#TheEconomist:
#Babbage: Untangling quantum mechanics with #NobelLaureate Anton Zeilinger

https://i.sonnet.fm/ijBvxdjLDmYqvjPf7

#QuantumEntanglement
#QuantumMechanics
#TheEconomist
#Vienna
#NobelPrize
#Physics
#Teleportation
#RichardFeynman
#AntonZeilinger
#Zeilinger
#photons
#probability
#AlbertEinstein
#Entanglement

"Prénom de code : #ADA" (La Conversation scientifique par Étienne #Klein, avec Catherine #Dufour)
https://www.franceculture.fr/emissions/la-conversation-scientifique/prenom-de-code-ada
"Inspirée par le moteur analytique de #Babbage, Ada #Lovelace eut l’intuition de ce qui deviendrait l’#informatique. Elle a marqué notre civilisation autant que Pasteur, Einstein ou Fleming."