The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
Abstract: Text-to-image person re-identification (TIReID) aims to retrieve the target pedestrians according to specific textual descriptions. Benefiting from abundant annotated training data, current ...
Early identification of SALI can improve patient outcomes; however, sepsis heterogeneity makes timely diagnosis challenging. Traditional diagnostic tools are often limited, and machine learning ...
Click-Ins’ damage-identification technology is now patented. The provider of artificial intelligence-powered vehicle inspection systems announced the United States Patent and Trademark Office has ...
The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
ABSTRACT: Machine learning (ML) has revolutionized risk management by enabling organizations to make data-driven decisions with higher accuracy and speed. However, as machine learning models grow more ...
ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...
Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...
aDepartment of Radiology, Institution of Radiology and Medical Imaging, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, China bFunctional and Molecular Imaging Key Laboratory of ...
DC Comics and the creators behind the Image Comics/Ghost Machine line have announced a new crossover that will see the two companies trading artists for a pair of very cool variant covers. It's ...
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