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Gen Alpha will grow up with Causal AI (Re: Is Causal AI simply ReLU (Geoffrey E. Hinton 2010))

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Hi,

Looks like the Causal AI viewpoint on neural
networks makes people comfortable. Some
work from Pittsburgh:

Causal Representation Learning and Generative AI
by Dr Kun Zhang #CausalNeSyAI
https://www.youtube.com/watch?v=UwcitNXphog

Kathleen M. Carley: Understanding Influence
A Network Science + AI Approach — IC2S2 2025 Keynote
https://www.youtube.com/watch?v=iHjFXtIeXnw

So Gen Alpha will grow up with Causal AI,
while Gen Z just botched Scryer Prolog, its
definitively a dead horse now?

Bye

Mild Shock schrieb:
> Hi,
> 
> Geoffrey E. Hinton, the Nobel Prize winner
> for AI. He was already beating the drums
> for ReLU in 2010:
> 
> HRectified Linear Units Improve Restricted Boltzmann Machines
> Geoffrey E. Hinton & Vinod Nair - 2010
> https://www.cs.toronto.edu/~fritz/absps/reluICML.pdf
> 
> Because ANNs (Artificial Neural Networks) were originally
> designed with other functions, e.g. with Logistic function:
> 
> An artificial neuron is a mathematical function conceived
> as a model of a biological neuron in a neural network.
> https://en.wikipedia.org/wiki/Artificial_neuron
> 
> If you populate additive factor graphs with log P,
> you basically get multiplicative factor graphs.
> So an ANN can express belief networks, right?
> 
> Bye
> 
> P.S.: What is all the hype about Causal AI, and
> the Ladder of Causation à la Judea Pearl?
> 
> Causal AI – the next gen AI
> Prof. Sotirios A. Tsaftaris - 2025
> https://www.youtube.com/watch?v=IelslFzdsYw

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