RDMA via Thunderbolt 5 brings 10x faster links for Apple Silicon clusters, helping you run larger AI models on affordable M4 ...
Real-world test of Apple's latest implementation of Mac cluster computing proves it can help AI researchers work using ...
A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Despite the excitement surrounding generative AI, the data shows that scientific research is still powered primarily by ...
Abstract: Cluster analysis plays an indispensable role in machine learning and data mining. Learning a good data representation is crucial for clustering algorithms. Recently, deep clustering (DC), ...
Introduction: Cardiogenic shock (CS) is a heterogeneous clinical syndrome, with varied clinical outcomes driven by hemodynamic states, and initial presentation. However, unsupervised machine learning ...
Introduction: Advanced heart failure (HF) is a clinically heterogeneous condition with poor prognosis, and traditional classification systems often fail to capture the complexity needed for ...
Abstract: The sixth generation (6G) wireless networks are envisioned to deliver ultra-low latency, massive connectivity, and high data rates, enabling advanced applications such as autonomous unmaned ...
1 Department of Otolaryngology, Head and Neck Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China 2 Department of Otolaryngology, Head and Neck Surgery, The Fifth ...
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