Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Recent breakthroughs in large language models (LLMs) on complex reasoning tasks have been largely driven by Test-Time Scaling (TTS) — a paradigm that enhances reasoning by intensifying inference-time ...
For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...
Abstract: Deep neural networks have significantly improved the performance of low-level vision tasks but also increased the difficulty of interpretability. A deep understanding of deep models is ...
Conclusions: Two-stage HRSN screening based on geography is suboptimal. Although a 2-stage approach based on area-level socioeconomic measures can reduce the number of patients requiring ...
Abstract: Creating aesthetically pleasing data visualizations remains challenging for users without design expertise or familiarity with visualization tools. To address this gap, we present DataWink, ...
While some U.S. communities oppose data centers, a majority of Florida voters support their development. Rural Southwest Florida residents are particularly enthusiastic, viewing data centers as a ...
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