From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
A recent analysis of a major developmental dataset reveals that children who play musical instruments over several years ...
Abstract: Malware poses a significant threat to network and information system security, particularly in industrial Internet of Things (IIoT) environments, where embedded systems and edge devices ...
A study of recent electoral cycles in Romania, Bulgaria and Kosovo shows what can happen when algorithms are allowed to hack democracy. This new ‘TikTokcracy’ must not go unchallenged. In December ...
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Uber and DoorDash now disclose when algorithms set prices. There's still one big question.
New Yorkers got a little more visibility this week into when apps like Uber and DoorDash use algorithms to set prices. The state's Algorithmic Pricing Disclosure Act took effect on Monday. Under the ...
In trading, discussions often center on strategies, indicators, or market predictions. Yet behind the numbers lies a quieter factor that often determines whether a system can endure: position sizing.
Community driven content discussing all aspects of software development from DevOps to design patterns. The Google Cloud Professional Machine Learning Engineer certification validates your ability to ...
Community driven content discussing all aspects of software development from DevOps to design patterns. The AWS Machine Learning Associate certification validates your ability to configure, build, and ...
Abstract: To address the challenges in network anomaly detection, such as data label imbalance and the poor performance of traditional Support Vector Machines (SVM) in fitting high-dimensional, ...
Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...
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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