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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.
Artificial intelligence has come a long way in a short time. No longer relegated to only outwitting humans in chess matches, AI now powers virtual assistants like Siri and self-driving cars testing their way through our neighborhoods. But if AI is getting more ingrained in society, why has it not boosted economic growth — as technological innovations like electricity or computers have done in the past?
Erik Brynjolfsson, a leading economist in AI, says it’s only a matter of time.
Brynjolfsson, Director of the MIT Initiative on the Digital Economy, spoke Tuesday at the Stanford Institute for Economic Policy Research (SIEPR), on “The AI Awakening and the Coming Productivity Boom.” The event was co-hosted by SIEPR and the Stanford Institute for Human-Centered Artificial Intelligence (HAI), where Brynjolfsson is a distinguished fellow. Read the full article.