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Exploring the societal impacts of AI
MIT researchers discuss AI's impact on employment and democracy at a recent forum.
Published Jun 23, 2026 · Analyzed Jul 4, 2026
A better way to model the behavior of metal alloys
MIT researchers developed a machine-learning method to model chemically disordered metal alloys more accurately and efficiently by generating diverse, information-theoretically optimized training datasets for atomistic simulations.
Published Jun 19, 2026 · Analyzed Jul 4, 2026
When it comes to predicting people’s preferences, it pays to consider “the power of three”
MIT researchers identified a fundamental limitation in century-old random utility models (RUMs) — their reliance on pairwise comparisons obscures correlations between preferences — and introduced a 'power of three' framework enabling more accurate, correlated preference modeling for AI-driven prediction systems.
Published Jun 11, 2026 · Analyzed Jul 4, 2026