Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

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Federated learning (FL) is emerging as a sought-after distributed machine learning architecture, offering the advantage of model training without direct exposure to raw data. With advancements in ...

visualization machine-learning deep-learning neural-network torch pytorch artificial-intelligence architecture-visualization architecture-diagram visualtorch Updated 3 weeks ago Python ...

Machine Learning Potentials (MLPs) have advanced rapidly and show great promise to transform Molecular Dynamics (MD) simulations. However, most existing software tools are tied to specific MLP ...

The widespread use of polyfluoroalkyl substances (PFASs) threatens the ecosystem and human health, while their rapid multicomponent identification remains challenging. Here, for the first time, a ...

Through the standardized MCP client-server architecture, AWS capabilities become an intelligent extension of your development environment or AI application. AWS MCP servers enable enhanced ...

Digital machine learning (ML) accelerators are popular and widely used. We provide an overview of the SIMD and systolic array architectures that form the foundation of many accelerator designs. The ...