By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
SINGAPORE, Jan. 13, 2026 /PRNewswire/ -- YY Group Holding Limited (NASDAQ: YYGH) ("YY Group" or the "Company"), a global leader in on-demand workforce solutions and integrated facilities management ...
A new career path for Army officers that focuses on artificial intelligence and machine learning further cements the service’s doctrinal shift toward cutting-edge technology and autonomous warfare.
WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
Abstract: This paper presents a low-complexity design for generating the sigmoid function based on a novel piecewise linear approximation. We have proposed an iterative algorithm to break the whole ...
ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
Multimodal Artificial Intelligence Model From Baseline Histopathology Adds Prognostic Information for Distant Recurrence Assessment in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
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