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 ...

Forecasting, a fundamental task in machine learning, involves predicting future values of a time series based on its historical behavior. This paper introduces a novel Hierarchical Patch Based ...

For the preparation of high-dimensional functions on quantum computers, we introduce tensor network algorithms that are efficient with regard to dimensionality, optimize circuits composed of ...

Function secret sharing (FSS) is a secret sharing technique for functions in a specific function class, mainly including distributed point function (DPF) and distributed comparison function (DCF). As ...

Introduction: We present Quantum Adaptive Search (QAGS), a hybrid quantum-classical algorithm for global optimization of multivariate functions. The method employs an adaptive mechanism that ...

The article debunks the common belief that trial-and-error improvements equate to true optimization. It provides a deep dive into how RTO works—from mathematical ...

Scientists have long debated the merits and risks of tinkering with viruses and bacteria, which the president claims caused the coronavirus pandemic. By Carl Zimmer and Emily Anthes President Trump ...

PROTECTING AMERICANS FROM DANGEROUS GAIN OF FUNCTION RESEARCH: Today, President Donald J. Trump signed an Executive Order to improve the safety and security of biological research in the United States ...

Abstract: An adaptive immune-genetic algorithm (AlGA) is proposed to avoid premature convergence and guarantee the diversity of the population. Rapid immune response (secondary response), adaptive ...

The last time I went to the doctor, I lived in a different zip code, belonged to a different body-weight category, and was rounding out a different decade. I never consciously swore off health care, ...