Abstract: Spaceborne GNSS reflectometry (GNSS-R) missions have been successfully launched in recent years, such as Technology Demonstration Satellite (TDS-1) in 2014, Cyclone Global Navigation ...
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Mastering machine learning from code to tuning
From implementing KNN, PCA, and clustering to applying deep learning and scientific tuning, these resources show how to build, refine, and optimize machine learning models. They combine hands-on ...
Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
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Your 2026 data science growth blueprint
Data science is one of the most in-demand skills in 2026, and a clear learning path can take you from beginner to expert. With structured roadmaps, hands-on projects, and industry-recognized ...
Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...
Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
We are looking for a Doctoral Researcher for Quantum-inspired tensor network machine learning solvers for super-moiré van der Waals materials.
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