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The Hoover Institution and the Stanford Institute for Human-Centered Artificial Intelligence (HAI) launched the 2024 AI Index Report, that was released on April 15, 2024.
An AI Measurement Science (AIMS) Seminar Series
An AI Measurement Science (AIMS) Seminar Series
Clinical Mind AI is a Stanford-developed, international collaborative platform designed to strengthen clinical reasoning education through AI-simulated patient encounters across health professions.
Clinical Mind AI is a Stanford-developed, international collaborative platform designed to strengthen clinical reasoning education through AI-simulated patient encounters across health professions.
Our November session is Scaling Training Across GPUs and Nodes with speaker Zoe Ryan. This session focuses on efficient strategies for using multiple GPUs and nodes. We will discuss how to deploy strategies of data parallelism and model parallelism to scale to multiple GPUs through PyTorch, enabling faster training times and better model performance.
Location: CoDa W401 & Zoom
Refreshments and snacks provided
Please follow the link to register
Our November session is Scaling Training Across GPUs and Nodes with speaker Zoe Ryan. This session focuses on efficient strategies for using multiple GPUs and nodes. We will discuss how to deploy strategies of data parallelism and model parallelism to scale to multiple GPUs through PyTorch, enabling faster training times and better model performance.
Location: CoDa W401 & Zoom
Refreshments and snacks provided
Please follow the link to register
The AI Index is an annual report that tracks, collates, distills, and visualizes data relating to AI, recognized globally as one of the most credible and authoritative sources for data and insights on artificial intelligence. The discussion highlights the findings from the 2024 version of the report and relevant findings for policymakers.
The 2024 Index is the most comprehensive report to date, launching at a critical time when AI's impact on society is more pronounced than ever. The report has broadened its scope to more extensively cover key trends such as AI’s technical progress, public perceptions, and the geopolitical dynamics. Featuring an unprecedented amount of original data, the 2024 edition introduces new estimates on AI training costs, detailed analyses of the responsible AI landscape, and an entirely new chapter dedicated to AI's transformative impact on science and medicine.
This panel discussion was in person at the Hoover DC office.
