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The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery.
AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery.
While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.
While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.
We analyze the relation between regulatory intervention against a dominant technology platform and complementor performance. Using a new, hand-collected dataset on enterprise infrastructure software firms from 1998-2004, we examine the relationship between the U.S. Department of Justice's antitrust lawsuit against Microsoft (a dominant enterprise platform owner) and value creation and value capture among infrastructure software firms (complementors) and Microsoft itself. The data show that citation-weighted patents by complementors is increased following the antitrust settlement but profitability is reduced. The findings suggest a social benefit to antitrust enforcement in the form of increased innovation but caution that disrupting the “order” of an industry may lead to losses in efficiency.
