As generative AI continues reshaping industries worldwide, enterprises are accelerating adoption across production, ...
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 ...
Background: Early detection of elevated acute stress is necessary if we aim to reduce consequences associated with prolonged or recurrent stress exposure. Stress monitoring may be supported by valid ...
Background: At present, the world is in the background of severe aging population challenges. Mild cognitive impairment (MCI), an intermediate state between normal aging and dementia, is a syndrome of ...
What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.
Abstract: Beyond Visual Range (BVR) air combat is an essential part of modern aerial warfare, relying on advanced radar, missile systems, and decision-support technologies. This survey provides a ...
Background/aims The antiseizure medication, vigabatrin, is associated with visual field loss (VAVFL). However, the fields can be challenging to interpret due to unfamiliarity with the characteristics ...
Department of Urology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710004, China College of Chemistry and Chemical Engineering, Xinyang Normal University, Xinyang 464000, China ...
Artificial intelligence (AI) is a broad term used to describe various types of virtual "intelligence" designed to replicate aspects of human cognitive abilities. Machine learning (ML) is a type of AI, ...
Abstract: Assistive technologies powered by machine learning are transforming the way sensory impairments are addressed, offering innovative solutions for individuals with hearing and visual ...
VML introduces a new framework of machine learning. Unlike conventional machine learning models that are typically optimized over a continuous parameter space, VML constrains the parameter space to be ...
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