As data analytics increasingly shapes economic and social decision-making, its application is no longer confined to large corporations or institutional settings. Instead, analytical frameworks are ...
Project seeks to understand social, environmental and economic impacts of paper mill closures while uncovering new ...
Chatbots put through psychotherapy report trauma and abuse. Authors say models are doing more than role play, but researchers ...
Innovation evolves at machine speed, while governance moves at human speed. As AI adoption grows exponentially, regulation is ...
Data sovereignty is not just about location, it’s about adaptability and vendor control in an era of distributed compute ...
The health and wellness industry has been digitized. And that not only includes how consumers take care of themselves, but ...
Edge devices across multiple applications share common attack vectors. Security functionality must be designed in from the ...
Classic Car Deals has published a new editorial and inventory-focused resource centered on one of the most recognized names ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...
This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for ...
Abstract: In the context of ongoing advancements in artificial intelligence technology, creative collaboration between humans and AI has become increasingly common. However, there remains a lack of ...
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