How modern infostealers target macOS systems, leverage Python‑based stealers, and abuse trusted platforms and utilities to ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...
Abstract: In federated learning, non-independently and non-identically distributed heterogeneous data on the clients can limit both the convergence speed and model utility of federated learning, and ...
It uses a system called simplified molecular-input line-entry system (SMILES). This translates chemical 3D structures into ...
AI's coding capabilities prompt students to reevaluate the value of traditional computer science education and future career paths.
Abstract: Microwave Imaging is a key technique for reconstructing the electrical properties of inaccessible media, relying on algorithms to solve the associated Electromagnetic Inverse Scattering ...
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