Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...
For more than 50 years, scientists have sought alternatives to silicon for building molecular electronics. The vision was ...
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
Pharmaceutical Separation Science Session Day two of HPLC 2025 concluded with a session on pharmaceutical separations chaired ...
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 ...
WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a hybrid quantum neural network structure (H-QNN) ...
Abstract: Standard imitation learning (IL) methods have achieved considerable success in robotics, yet often rely on the Markov assumption, which falters in long-horizon tasks where history is crucial ...
Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the ...
Abstract: Fault detection and diagnosis (FDD) in power transformers is essential for maintaining reliability and safety in modern power systems. Recent trends in transformer fault diagnosis include ...
This project implements a distributed machine learning pipeline to predict flight arrival delays with a Mean Absolute Error (MAE) of approximately 8 minutes. The ...
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