Tensor Times
An academic-grade journal of artificial intelligence research — peer-reviewed analysis of large language models, machine learning frameworks, and the engineering behind today’s most consequential AI systems.
Latest Analysis
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Explainable AI Tools for Clinical Decision Support: Interpretability Methods in Medical Diagnostic Systems
The integration of artificial intelligence (AI) into clinical workflows represents a paradigm shift in modern medicine, offering unprecedented potential for enhancing diagnostic accuracy, personalizing treatment plans, and managing…
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Cross-Lingual Transfer Learning in Large Language Models: Evaluating Zero-Shot Performance Across Low-Resource Languages
The advent of large language models (LLMs) has fundamentally reshaped the landscape of natural language processing (NLP). Trained on vast, multilingual corpora, models like GPT-4, LLaMA, and PaLM…
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The Economics of Open-Source AI: Analyzing Development Costs, Community Contributions, and Commercial Viability of Publicly Available Models
The rise of publicly available, open-source artificial intelligence (AI) models represents a profound shift in the technological landscape, challenging long-held assumptions about innovation, intellectual property, and market structure.…
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AI Governance Frameworks for Financial Services: Implementing Risk Management and Compliance in Algorithmic Trading Systems
The integration of artificial intelligence (AI) and machine learning (ML) into algorithmic trading systems represents a paradigm shift in financial services, offering unprecedented speed, efficiency, and predictive capabilities.…
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The Carbon Footprint of Large-Scale AI Training: Methodologies for Measuring and Reducing Environmental Impact in Model Development
The rapid ascent of artificial intelligence, particularly large language models (LLMs) and foundation models, has catalyzed a paradigm shift across science and industry. However, this transformative power is…
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AI-Assisted Drug Discovery Platforms: Evaluating Computational Tools for Molecular Design and Clinical Trial Optimization
Introduction: The Computational Revolution in Pharma The traditional drug discovery pipeline is a notoriously high-risk, capital-intensive, and time-consuming endeavor, often requiring over a decade and billions of dollars…