Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
The future of AI is here. Discover the world’s first self-evolving, open-weight AI model that can independently upgrade ...
Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
Phillips & Associates reports AI algorithms are reshaping hiring practices, raising concerns over bias and legal ...
This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.
Abstract: We present a method for the unattended gray-box identification of sensor models commonly used by localization algorithms in the field of robotics. The objective is to determine the most ...
Abstract: Client selection can result in more homogeneous data and improve the generalization performance of the global model. In the actual training environment, the heterogeneity of client devices ...
This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies. Clinical ...
1 Department of Gynecology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China. 2 Department of Orthopedic Surgery, Affiliated Hospital of Youjiang Medical University ...
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