AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...
For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...
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AI models stumble on basic multiplication without special training methods, study finds
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
Hydrogen peroxide is widely used in everyday life, from disinfectants and medical sterilization to environmental cleanup and ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...
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) ...
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