Artificial Intelligence

Big topics A-Z

Brain map

Phenotypic variation of transcriptomic cell types in mouse motor cortex (paper). Scientist got neurons from different layers and regions and…

Read more...

Diffusion models

Also: Stable Diffusion and 3D Tutorials https://lilianweng.github.io/posts/2021-07-11-diffusion-models/ Another diffusion tutorial https…

Read more...

Hopfield Networks

Full crash course about Hopfiled networks. And a recent article Hopfield Networks is All You Need saying that Hopfield networks just a…

Read more...

Long Short-Term Memory

Main paper PDF stacking lstms https://stats.stackexchange.com/questions/163304/what-are-the-advantages-of-stacking-multiple-lstms intro to…

Read more...

Multi agent systems

Intuitively, intelligence and consciousness seem to be highly correlated. The smartest animals we know of are also the ones that show the…

Read more...

Real AI test

Just collecting links for this article about real tough AI test that no system can pass. About ARC https://arc-editor.lab42.global/ https…

Read more...

Reinforcement Learning

Personal research Link Articles How RL Agents Behave When Their Actions Are Modified, code soccer bi-pedal robot recover after push with…

Read more...

Spiking Neural Networks

Better than any words, you can get an idea how SNNs work from this animation. But here's a downside: ...in order to reach accuracy of its…

Read more...

Last reviews

All reviews here

Reward is not Necessary

How to Create a Compositional Self-Preserving Agent for Life-Long Learning

(2022) - by Thomas J. Ringstrom

Enabling Brain-Inspired Processors

Through Energy-Efficient Delayed Feedback Reservoir Computing Integrated Circuits

(2020) - by Yang Yi

Temporal Coding in Spiking Neural Networks

with Alpha Synaptic Function: Learning with Backpropagation

(2020) - by Comsa et al

Firing patterns in the adaptive exponential integrate-and-fire model

in the adaptive exponential integrate-and-fire model

(2008) - by Naud R, Marcille N, Clopath C, Gerstner W.

Spike arrival times

A highly efficient coding scheme for neural networks

(1990) - by Simon J Thorpe