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ACE-Brain-0.5 unifies spatial reasoning and action generation in embodied AI, achieving remarkable performance improvements across multiple benchmarks.
Geometry-aware distillation enables text-driven video segmentation models to achieve state-of-the-art performance by leveraging 3D geometric knowledge, even from 2D image datasets.
SAP-based machine learning achieves unprecedented accuracy in predicting electronic structures, even for unseen molecular configurations.
EOM-CCSD achieves unprecedented accuracy in band gap predictions, outperforming traditional methods with a mean absolute error of just 0.27 eV.