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 ...

Google’s Gemma series continues to throw up all kinds of interesting models. The latest is Magenta RealTime 2 (MRT2), an open-weights model ...

StatsPAI is the agent-native Python package for causal inference and applied econometrics. One import, 800+ functions, covering the complete empirical research workflow — from classical econometrics ...

Abstract: Automatic Audio Captioning (AAC) aims at generating natural language descriptions for audio content. However, existing methods are often affected by latent confounders and spurious ...

Abstract: Causal discovery is fundamental for understanding the underlying structure of complex systems, integrating domain knowledge with statistical methods, machine learning models, and ...

See citation below for complete author information. This paper develops a framework for identification, estimation, and inference on the causal mechanisms driving endogenous social network formation.

Maine is poised to freeze large data-center construction, which would make it the first state to enact such a measure as communities across the U.S. grapple with fallout from the boom in artificial ...

Beijing, China — Researchers from Beijing Institute of Technology and other leading institutions have developed a novel approach for improving Multi-Hop Question Answering (MHQA) tasks, which require ...

A new technical paper, “Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis,” was published by the University of Florida. “Analog-mixed-signal (AMS) circuits are highly ...

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