This valuable study uses naturalistic movie-viewing fMRI and stacked encoding models to investigate sensory feature representations in autistic and non-autistic youth, showing a relative shift toward ...

Official implementation of "Finer-CAM". CAM methods highlight image regions influencing predictions but often struggle in fine-grained tasks due to shared feature activation across similar classes. We ...

We build AI that beats us at chess, writes poetry, and diagnoses cancer — yet we have absolutely no idea how it works inside. That's not a metaphor. It's a crisis. And the field trying to fix it just ...

You have probably seen this before. You send the exact same prompt to an LLM twice and get two completely different responses. One is sharp and factual. The other is creative and slightly off-track.

This study presents an important new approach to quantifying parsimony preferences in human inference. The work provides convincing evidence that humans are sensitive to specific formalizations of ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

This paper demonstrates the value of a framework for processing data on body acceleration as a uniquely valuable tool for diagnosing diseases that affect gait early. As a case study, we used this ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Markov state models (MSM) are a popular statistical method for analyzing the ...

Back in the old days, traditional phrase-based translation systems performed their task by breaking up source sentences into multiple chunks and then translated them phrase-by-phrase. This led to ...