#cornell Tech News.
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Cornell University researchers developed a direct electrode-to-electrode regeneration method that restores spent lithium-ion cells to 95% of original capacity while cutting recycling costs by 56%. The technique dissolves the insulating layer on electrodes, skipping destructive smelting or acid processing.
Cornell researchers tested vision language models on predicting outcomes of tense social scenarios in short videos. The AI could anticipate physical chaos, like a toddler spilling coffee, but failed to read human social signals. The study explores using AI to give robots social intelligence for functioning in society.
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