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The Center for Decoding the Universe brings together researchers across scientific disciplines to answer the biggest questions about our Universe by leveraging complex data with the most advanced statistical and computational methods.
The Center for Decoding the Universe brings together researchers across scientific disciplines to answer the biggest questions about our Universe by leveraging complex data with the most advanced statistical and computational methods.
Hear from speakers and attendees at recent Stanford HAI events across research, policy, and education.
Despite widespread speculation about artificial intelligence’s impact on the future of work, we lack systematic empirical evidence about how these systems are actually being used for different tasks. Here, we present a novel framework for measuring AI usage patterns across the economy.
Despite widespread speculation about artificial intelligence’s impact on the future of work, we lack systematic empirical evidence about how these systems are actually being used for different tasks. Here, we present a novel framework for measuring AI usage patterns across the economy.
Join HAI Senior Fellow Susan Athey for a conversation with European Commission Executive Vice-President Henna Virkkunen on her leadership shaping Europe’s digital agenda.
Join HAI Senior Fellow Susan Athey for a conversation with European Commission Executive Vice-President Henna Virkkunen on her leadership shaping Europe’s digital agenda.
IBM Synthetic Data Sets (SDS) have been created for use cases in the financial industry.
IBM Synthetic Data Sets (SDS) have been created for use cases in the financial industry.
Does job task automation augment or diminish the value of labor in the tasks that remain? We argue that the answer depends on whether removing tasks raises or reduces the expertise required to perform the bundle of tasks that remain. Because the tasks that are expert in one occupation may serve primarily as supporting tasks in another, automating any given task may simultaneously replace experts in some occupations and augment expertise in others.
Does job task automation augment or diminish the value of labor in the tasks that remain? We argue that the answer depends on whether removing tasks raises or reduces the expertise required to perform the bundle of tasks that remain. Because the tasks that are expert in one occupation may serve primarily as supporting tasks in another, automating any given task may simultaneously replace experts in some occupations and augment expertise in others.
The AI Index, currently in its eighth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
The AI Index, currently in its eighth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
Advances in artificial intelligence are rapidly transforming the scientific enterprise, offering powerful new methods for generating hypotheses, designing experiments, and interpreting data. I will discuss the promise of AI to accelerate scientific discovery, sharing examples that illustrate emerging patterns of innovation driven by the rapid scaling of cycles of generation and testing.
Advances in artificial intelligence are rapidly transforming the scientific enterprise, offering powerful new methods for generating hypotheses, designing experiments, and interpreting data. I will discuss the promise of AI to accelerate scientific discovery, sharing examples that illustrate emerging patterns of innovation driven by the rapid scaling of cycles of generation and testing.