Long before today’s AI hype, researchers quietly honed machines’ ability to navigate uncertainty and incomplete information by turning to classic card games—poker, solitaire, and bridge
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Long before the rise of deep learning and neural nets, early AI researchers turned to classic card games like poker, solitaire, and bridge as proving grounds for machines grappling with uncertainty and incomplete information
Long before today’s AI breakthroughs, mid-20th century researchers grappled with a fundamental challenge: how to make machines reason effectively under uncertainty and incomplete information
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