Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Artificial intelligence (AI) data center construction is booming—but its biggest name isn’t automatically the best investment. Meanwhile, a slower-growing tech sector is proving highly profitable for ...
Applied Materials (AMAT) is scheduled to announce Q1 earnings results on Thursday, and investors will watch out for the company’s semiconductor system revenue growth and its strategy to diversify ...
Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
This is the code of the paper 'Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation' (Accepted by AAAI 2025).
We are only a month into 2026, yet it’s already clear what one of the major space stories of the year is going to be: mega-constellations, and the ongoing attempts to launch thousands of satellites ...
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