This is an important contribution that largely confirms prior evidence that word recognition - a cornerstone of development - improves across early childhood and is related to vocabulary growth. This ...
Abstract: A tensegrity-based system is a promising approach for dynamic exploration of uneven, unpredictable, and confined environments. However, implementing such systems presents challenges in state ...
This repository contains a refactoring of the code used in the paper "Learning Latent Graph Structures and Their Uncertainty" (ICML 2025). The code is designed to be modular and easy to use, allowing ...
New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Scientists organize millions of proteins by shape, as predicted by AI, revealing 700,000 new families and some shapes unique ...
By studying tiny distortions in the shapes of distant galaxies, scientists mapped dark matter and dark energy across one of the largest sky surveys ever assembled. Their results back the standard ...
Understanding the core principles of computer programming is the first step to writing effective code. Learning about ...
Abstract: To partition samples into distinct clusters, Fuzzy C-Means (FCM) calculates the membership degrees of samples to cluster centers and provides soft labels, gaining significant attention in ...
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