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Research & Development
Navigating Generative AI in Advanced University Mathematics: A Pilot Study’s Insights
TLDR: A pilot study explored how undergraduate students in proof-based math courses (abstract algebra, topology) used and perceived generative AI (Microsoft CoPilot) under a...
Research & Development
Making AI Agents Behave Predictably: The CoBRA Toolkit
TLDR: CoBRA is a new toolkit that allows researchers to precisely and quantitatively program cognitive biases in LLM-based agents. This addresses the problem of...
Research & Development
Network Topology’s Role in Cognitive Evolution: Insights from Artificial Neural Networks
TLDR: This research paper explores how changes in the structure of neural networks, specifically feed-forward, recurrent, and laminated topologies, can lead to major transitions...
Research & Development
How AI Learns to Adapt by Forming Cognitive Structures
TLDR: The paper introduces a hierarchical learning framework where a Graph Convolutional Network (GCN) learns maze navigation paths (first-order learning) and an MLP controller...
Research & Development
Mapping Digital Disclosures: A New Framework for Domestic Violence Support
TLDR: This research introduces a computational framework to understand how domestic violence (DV) victims disclose their experiences on social media and receive support. It...
Research & Development
Causal AI Models City Movements for Enhanced Long-Term Crowd Flow Prediction
TLDR: C3DE is a new AI framework that uses Neural Controlled Differential Equations and causal reasoning to predict long-term urban crowd flow. It addresses...