Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict the degeneration of neural networks in amyotrophic ...

CATS-Net (Concept Abstraction and Task-Solving Network) is a comprehensive framework for understanding and implementing concept abstraction in neural networks. The system combines supervised learning ...

ABSTRACT: This paper proposes a hybrid AI framework that integrates technical indicators, fundamental data, and financial news sentiment into a stacked ensemble learning model. The ensemble combines ...

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1 School of Marxism, Chongqing Chemical Industry Vocational College, Chongqing, China 2 College of Public Policy and Management (College of Emergency Management), China University of Mining and ...

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, Sigmoid, and more. #ActivationFunctions #DeepLearning #Python As shutdown ...

Meta is shifting the goalposts in the AI coding race. The company has released its Code World Model (CWM), a powerful 32-billion-parameter system designed not just to write code, but to fundamentally ...

Abstract: Aiming at the problem of underutilization of API call relationship and low detection rate due to the limited detection capability of a single model in malicious code detection, a malicious ...

In a landmark move for the decentralized AI ecosystem, BlockMesh has officially merged into Perceptron Network, uniting two fast-growing platforms under a single mission – to build the world’s first ...

ABSTRACT: Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated ...