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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.
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.
The talk will discuss how we got into this escalating conflict of AI, the state of the world today and how we come to a positive resolution without accidentally destroying the planet.
The talk will discuss how we got into this escalating conflict of AI, the state of the world today and how we come to a positive resolution without accidentally destroying the planet.
In 2021, the novelist and journalist Vauhini Vara asked a predecessor of ChatGPT to write about her sister’s death, resulting in an essay that was both more moving and more disturbing than she could have imagined.
In 2021, the novelist and journalist Vauhini Vara asked a predecessor of ChatGPT to write about her sister’s death, resulting in an essay that was both more moving and more disturbing than she could have imagined.
In an era when information is treated as a form of power and self-knowledge an unqualified good, the value of what remains unknown is often overlooked.
In an era when information is treated as a form of power and self-knowledge an unqualified good, the value of what remains unknown is often overlooked.
In today’s robot revolution, a record 3.1 million robots are now working in factories, doing everything from assembling computers to packing goods and monitoring air quality and performance.
In today’s robot revolution, a record 3.1 million robots are now working in factories, doing everything from assembling computers to packing goods and monitoring air quality and performance.
The widepread deployment of AI systems in critical domains demands more rigorous approaches to evaluating their capabilities and safety.
The widepread deployment of AI systems in critical domains demands more rigorous approaches to evaluating their capabilities and safety.