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Test-time harnesses can nearly double the performance of weaker models, transforming how we think about capability transfer in AI.
Explicit spectral representation in Raman spectroscopy can lead to a 19.6% improvement in predictive accuracy over traditional methods.
A unified benchmark and a physics-informed framework that together redefine the standards for reliable chemical property predictions in AI.
Forget slow, end-to-end models: building real-time voice agents hinges on a cascaded streaming pipeline, as demonstrated by a new tutorial achieving sub-second latency.
