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.
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The Ethics of AI Personhood: Philosophical and Legal Considerations for Autonomous Agent Rights and Responsibilities
Introduction: The Threshold of Consciousness The rapid evolution of artificial intelligence, particularly in the domains of autonomous agents and sophisticated large language models, has precipitated a profound and…
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The Emergence of Multimodal Reasoning in Large Language Models: A Critical Analysis of Recent Architectural Advances
Introduction: Beyond Textual Intelligence The trajectory of artificial intelligence has long been dominated by unimodal paradigms, where models specialized in processing a single data type—most notably text. However,…
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Causal Inference in Large Language Models: Structural Causal Models for Counterfactual Reasoning and Intervention Analysis
Introduction: From Correlation to Causation in the Age of LLMs The remarkable fluency and knowledge of Large Language Models (LLMs) are built upon a foundation of statistical correlation.…
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AI-Assisted Synthetic Data Generation: Techniques for Privacy-Preserving Dataset Augmentation in Sensitive Domains
The proliferation of data-driven machine learning has created a paradox in sensitive domains such as healthcare, finance, and public sector analytics. While the potential for transformative insights is…
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The Role of Epistemic Uncertainty Quantification in Large Language Model Safety: Bayesian Methods for Confidence Calibration
As large language models (LLMs) are deployed in increasingly high-stakes domains—from medical diagnostics and legal analysis to autonomous systems and financial advising—the question of their reliability moves from…
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AI-Powered Supply Chain Optimization: Reinforcement Learning Approaches for Logistics and Inventory Management
Introduction: The Modern Supply Chain as a Complex Adaptive System The contemporary global supply chain is a paradigm of complexity, characterized by volatile demand, geopolitical uncertainties, multi-echelon networks,…