Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
The key idea behind our framework is that life produces molecules with purpose, while nonliving chemistry does not. Cells ...
A new report reveals the results of a study exploring biodiversity in a region targeted for seabed mining—capturing baseline data, tracking natural changes and assessing the impacts of a polymetallic ...
SHANGHAI, Nov. 17, 2025 /PRNewswire/ -- In recent years, with the acceleration of global digital transformation, blockchain technology has rapidly evolved into a critical component of modern economic ...
Background: Sepsis remains a major cause of mortality and morbidity worldwide. Recent studies suggest that gut microbiota-derived metabolites, such as α-hydroxybutyrate (α-HB), may play a critical ...
A Republican lawmaker has called for a federal review of two companies that manufacture Bitcoin mining hardware, saying that their increasing presence in the US could present a national security risk, ...
How can your smartphone become a passive income generator? In 2025, one of the most profitable crypto mining tools allows you to earn daily income effortlessly. Cloud mining has become the gateway for ...
ABSTRACT: Doping is an issue associated with elite sports as athletes attempt to enhance their performance to gain an edge over other athletes. However, the prevalence of doping is continuously ...
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 ...
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
Abstract: Machine learning models are used for pattern recognition analysis of big data, without direct human intervention. The task of unsupervised learning is to find the probability distribution ...
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