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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Algorithmic Transparency in Public Sector AI: Policy Frameworks for Governmental Decision-Making Systems
The integration of artificial intelligence (AI) into public sector operations represents a paradigm shift in governance, promising unprecedented efficiency in service delivery, resource allocation, and regulatory enforcement. From…
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Neuroscience-Inspired Architectures for Continual Learning: Biological Plausibility in Artificial Neural Networks
The quest to build artificial intelligence that can learn continuously and adaptively from a non-stationary stream of data—a capability known as continual or lifelong learning—remains one of the…
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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.…