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Low-frequency bias in EEG models can be corrected, leading to a significant boost in performance across a wide range of tasks.
Today's best AI agents can only solve 55% of real-world academic tasks that university students find challenging, revealing a significant gap between current AI capabilities and the demands of academic workflows.