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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University of Tokyo Achieves Room-Temperature Quantum Error Correction at 99.5% Fidelity
The University of Tokyo’s groundbreaking achievement in room-temperature quantum error correction may redefine the quantum computing landscape.
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DeepMind Unveils Harbor: An Open-Source Harness for Physics-Informed ML Evaluation
DeepMind launches Harbor, an open-source harness aimed at evaluating physics-informed machine learning, inviting global collaboration.
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First 48 Hours of Harbor: 11 Labs Already Submitting Results, Leaderboard Live
In just 48 hours, DeepMind’s Harbor open-source harness has seen 11 labs submit results, with a leaderboard showing significant performance gaps.
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University of Hawaiʻi Algorithm Advances Physics-Informed Machine Learning
A new algorithm from the University of Hawaiʻi significantly enhances physics-informed machine learning by enforcing conservation laws as hard constraints.
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MIT Team Applies Control Theory to Optimize Large Language Model Training
MIT researchers have developed a method using control theory to reduce compute costs in training large language models by up to 35% without quality loss.
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Cornell Neuro-Symbolic AI Architecture Achieves 100x Energy Efficiency Gains with Improved Accuracy
A Cornell University research team has demonstrated a neuro-symbolic AI system that reduces energy consumption by up to 100 times while outperforming transformer baselines on reasoning benchmarks, pot