Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
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 ...
CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 ...
Abstract: Our study focuses on detecting confusion from EEG data in higher education. Using BiLSTM models, we enhance EEG analysis efficiency and precision. Starting with extensive feature extraction ...
ABSTRACT: From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models.
Have you seen the ASUS ROG Matrix GeForce RTX 5090 card? Yes you have; it's right above this text. The new high-end graphics card from the halo-tier Matrix series has a striking design that we'd ...
Background: This study aims to construct a dual-modal machine learning model that integrates ultrasound radiomics and plasma proteomics for the precise diagnosis of breast cancer. Methods: Using a ...
Like Embark Studios' 2023 shooter The Finals, its new game Arc Raiders, out today, comes bearing an "AI generated content disclosure" on its Steam page. "During the development process, we may use ...
During Machine Design’s Motion Systems Takeover Week (Oct. 20–24, 2025), we explored how the fusion of mechanical motion and data-driven control is reshaping high-precision applications across ...
What if the power of professional-grade CNC machining could fit right on your desktop? Imagine crafting intricate designs, prototyping innovative products, or engraving custom creations, all with a ...
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