Hackaday

Analyzing Feature Learning In Artificial Neural Networks And Neural Collapse

Artificial Neural Networks (ANNs) are commonly used for machine vision purposes, where they are tasked with object recognition. This is accomplished by taking a multi-layer network and using a ...
Hosted on MSN

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
Ars Technica

Here’s what’s really going on inside an LLM’s neural network

With most computer programs—even complex ones—you can meticulously trace through the code and memory usage to figure out why that program generates any specific behavior or output. That’s generally ...
The Scientist

A Neural Network Maps the Mouse Brain in Unprecedented Detail

While such advances bring with them a breadth of knowledge, the immense complexity of the datasets makes it challenging for scientists to analyze them using current computational methods. Now, ...
PsyPost on MSN

Fascinating new neuroscience model predicts intelligence by mapping the brain’s internal clocks

A new study suggests that the brain processes information with high efficiency by synchronizing the physical wiring of neural networks with the varying speeds of local brain activity. Published in ...