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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.
In Flash Teams, award-winning management scholar Melissa Valentine and computer scientist Michael Bernstein chart the opportunities of flash teams and navigate the challenges that teams and managers will face.
In Flash Teams, award-winning management scholar Melissa Valentine and computer scientist Michael Bernstein chart the opportunities of flash teams and navigate the challenges that teams and managers will face.
All of life encodes information with DNA. While tools for sequencing, synthesis, and editing of genomic code have transformed biological research, intelligently composing new biological systems would also require a deep understanding of the immense complexity encoded by genomes.
All of life encodes information with DNA. While tools for sequencing, synthesis, and editing of genomic code have transformed biological research, intelligently composing new biological systems would also require a deep understanding of the immense complexity encoded by genomes.
On September 29, 2025, Bharat Chandar, postdoctoral fellow at the Stanford Digital Economy Lab, and Ruyu Chen, research scientist at the Stanford Digital Economy Lab, will present the findings on their recent paper.
On September 29, 2025, Bharat Chandar, postdoctoral fellow at the Stanford Digital Economy Lab, and Ruyu Chen, research scientist at the Stanford Digital Economy Lab, will present the findings on their recent paper.
On September 22, 2025, Seyed M. Hosseini and Guy Lichtinger of Harvard University will visit our Seminar Series to present their paper.
On September 22, 2025, Seyed M. Hosseini and Guy Lichtinger of Harvard University will visit our Seminar Series to present their paper.
The rapid ascent of OpenAI has been central in showcasing the disruptive power of artificial intelligence to the public.
The rapid ascent of OpenAI has been central in showcasing the disruptive power of artificial intelligence to the public.
The talk starts with a quick exposition of the modern monetary circuit model (MMCT), considered an integral part of the general dynamic input-output model. Then, it analyzes money creation by the banking system and highlights central banks’ role as an anchor that keeps the financial system together. Particular emphasis is placed on interactions among different systems and foreign exchange.
The talk starts with a quick exposition of the modern monetary circuit model (MMCT), considered an integral part of the general dynamic input-output model. Then, it analyzes money creation by the banking system and highlights central banks’ role as an anchor that keeps the financial system together. Particular emphasis is placed on interactions among different systems and foreign exchange.
Co-author's Dave Patterson and Andy Konwinski discuss themes from "Shaping AI's Impact on Billions of Lives".
Co-author's Dave Patterson and Andy Konwinski discuss themes from "Shaping AI's Impact on Billions of Lives".
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.