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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AI Toolchains for Computational Social Science: Methodological Innovations in Data Collection, Analysis, and Interpretation
The intersection of artificial intelligence and social science is no longer a speculative frontier but a rapidly maturing domain of methodological practice. Computational Social Science (CSS), which leverages…
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Neuro-Symbolic Integration in Large Language Models: A Survey of Hybrid Architectures for Enhanced Logical Reasoning
The ascent of large language models (LLMs) has been a defining narrative in artificial intelligence, marked by unprecedented fluency in text generation and a broad, if shallow, grasp…
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Constitutional AI Implementation: Technical Approaches to Aligning Language Models with Human Values and Normative Principles
The rapid advancement of large language models (LLMs) has precipitated a critical challenge in artificial intelligence: how to ensure these powerful systems behave in ways that are safe,…
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The Industrial Metaverse: Integrating Digital Twins with AI-Driven Simulation and Optimization Systems
Introduction: The Convergence of Physical and Digital Industry The evolution of industrial systems has entered a new paradigm, one where the physical and digital realms are not merely…
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Regulatory Compliance Frameworks for Generative AI in Financial Services: Navigating SEC, FINRA, and GDPR Requirements
Introduction: The Compliance Imperative in AI-Driven Finance The integration of generative artificial intelligence (GenAI) into financial services—from algorithmic trading and risk modeling to personalized client communications and fraud…
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AI-Assisted Scientific Discovery: A Meta-Analysis of Large Language Models in Literature Review and Hypothesis Generation
The scientific method, a cornerstone of human progress, is undergoing a profound transformation. The iterative cycle of literature review, hypothesis generation, experimentation, and analysis is being augmented—and in…