Nvidia’s data center chips have become the default engine for modern artificial intelligence, but they are not just faster ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

According to Sam Altman on Twitter, OpenAI has shared insights on understanding neural networks through sparse circuits, offering a practical approach to improve ...

Americans continued to rely on Fox News Channel for information and analysis through October, and FNC continued to lead all broadcast networks among weekday primetime viewers in 2025. Since the start ...

Abstract: Deep neural networks (DNNs) have seen growing adoption in safety-critical domains. Unfortunately, they are also subject to unexpected failures due to hardware transient faults (soft errors).

Humans and animals recognize objects irrespective of the beholder's point of view, which may drastically change their appearance. Artificial pattern recognizers strive to also achieve this, e.g., ...

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...

This paper is dedicated to the memory of my grandma. This is probably the only paper in my life that was written in a hospital the entire time. This is also at the same time the very first work in my ...