Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
In a study conducted at the University of Helsinki, AI was trained to classify bird sounds with increasing accuracy. The ...
Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
NYU Professor of Business Vasant Dhar is a pioneer in the field of artificial intelligence. He's the host of the "Brave New ...
Kristen Smigielski, Ph.D., was born and raised in Buffalo, New York, in a family of educators. Her grandfather, grandmother, ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...
Abstract: Like other sectors of the industry, instrumentation and measurement (I&M) in the past few years has witnessed the significant rise of Machine Learning (ML) in its domain [1]. In I&M, ML is ...
Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
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 ...
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