That joyfulness can extend even to the more mundane lessons, like learning new vocabulary, which historically has involved ...
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 ...
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
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 ...
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) ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...
Clarification: A previous version of this story had a different image. It has been updated for clarity. Walk into any kindergarten classroom this fall, and there’s a good chance students will be ...
Abstract: For inverse synthetic aperture radar (ISAR) imaging under incomplete data conditions including sparse aperture (SA) and limited bandwidth (LB), the high-quality focused ISAR images cannot be ...
20 iPhone 17 Pro/Pro Max Features You Won’t Find on Apple’s iPhone 17 or iPhone Air Your email has been sent Here's every key feature you gain by going with a Pro model of the iPhone 17. A person uses ...
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