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
-
Neuro-Symbolic Integration in Large Language Models: Bridging Statistical Learning with Structured Reasoning for Complex Problem Solving
The ascent of large language models (LLMs) has been nothing short of meteoric, driven by the remarkable ability of deep neural networks to absorb statistical patterns from vast…
-
Open-Source Multimodal Models: Evaluating the Performance and Accessibility Gap Between Proprietary and Community-Driven Alternatives
The landscape of artificial intelligence is undergoing a profound shift from unimodal to multimodal systems, capable of processing and generating information across text, images, audio, and video. This…
-
Prompt Engineering for Scientific Literature Review: Systematic Approaches to Extracting Domain-Specific Insights from LLMs
The systematic review of scientific literature is a cornerstone of academic research, yet it is increasingly challenged by the exponential growth of scholarly output. Researchers face a deluge…
-
AI Regulation in the European Union: Analyzing the AI Act’s Impact on Foundation Model Development and Deployment
Introduction: A Regulatory Watershed for Artificial Intelligence In April 2024, the European Parliament formally adopted the Artificial Intelligence Act (AI Act), establishing the world’s first comprehensive, horizontal legal…
-
Federated Learning in Healthcare AI: Privacy-Preserving Model Training Across Distributed Medical Datasets
Introduction: The Data Dilemma in Medical AI The development of robust, generalizable artificial intelligence models for healthcare is fundamentally constrained by a critical tension: the need for vast,…
-
The Constitutional AI Paradigm: Aligning Large Language Models with Human Values Through Self-Supervised Feedback Loops
The rapid proliferation of large language models (LLMs) has precipitated a central challenge in artificial intelligence: how to ensure these powerful systems act in accordance with a broad,…