What kinds of artificial intelligence regulation are Iowa lawmakers considering? - wcfcourier.com
What kinds of artificial intelligence regulation are Iowa lawmakers considering? wcfcourier.com
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Thermodynamic connectivity reveals functional specialization and multiplex organization of extrasynaptic signaling
arXiv:2604.02057v1 Announce Type: cross Abstract: Neural communication operates on both fast synaptic transmission and slower, diffusive extrasynaptic signaling, yet how these two modes jointly organize brain function remains unclear. Here, using the complete synaptic and neuropeptidergic connectomes of \emph{Caenorhabditis elegans}, we develop a unified multiplex framework linking anatomical wiring to functional communication. We infer structure-derived functional connectivity from the synaptic connectome using equilibrium principles from statistical physics, yielding a probabilistic map of information flow across all synaptic pathways, and compare this functional layer directly with the extrasynaptic connectome. This reveals a principled functional specialization across four communicatio
Validating Computational Markers of Depressive Behavior: Cross-Linguistic Speech-Based Depression Detection with Neurophysiological Validation
arXiv:2604.01533v1 Announce Type: new Abstract: Speech-based depression detection has shown promise as an objective diagnostic tool, yet the cross-linguistic robustness of acoustic markers and their neurobiological underpinnings remain underexplored. This study extends Cross-Data Multilevel Attention (CDMA) framework, initially validated on Italian, to investigate these dimensions using a Chinese Mandarin dataset with Electroencephalography (EEG) recordings. We systematically fuse read speech with spontaneous speech across different emotional valences (positive, neutral, negative) to investigate whether emotional arousal is a more critical factor than valence polarity in enhancing detection performance in speech. Additionally, we establish the first neurophysiological validation for a spee
Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights
A new chatbot from Vector researchers can help Canadian air travellers understand and exercise their rights. By breaking down complex regulations into easily digestible information, this tool can empower passengers [ ] The post Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights appeared first on Vector Institute for Artificial Intelligence .
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Multi-Objective Agentic Rewrites for Unstructured Data Processing
arXiv:2512.02289v4 Announce Type: replace Abstract: One year ago, we open-sourced DocETL, a declarative system for LLM-powered data processing that, as of March 2026, has 3.7K GitHub stars and users across domains (e.g., journalism, law, medicine, policy, finance, and urban planning). In DocETL, users build pipelines by composing operators described in natural language, also known as semantic operators, with an LLM executing each operator's logic. However, due to complexity in the operator or the data it operates on, LLMs often give inaccurate results. To address this challenge, DocETL introduced rewrite directives, or abstract rules that guide LLM agents in rewriting pipelines by decomposing operators or data. For example, decomposing a single filter("is this email sent from an executive
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