HAI Weekly Seminar with Monroe Kennedy III
Considerations for Collaborative Robots
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Considerations for Collaborative Robots
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
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Over the past few decades, robots have become more capable of physically performing complex tasks. Robotics has evolved from simply the accuracy and repeatability of automation in manufacturing, to the ability to operate in unstructured environments with autonomy, to the capability to coordinate with other robots with swarm technology, and now to work alongside human teammates as collaborators and assistants. This latest horizon of effective collaboration requires all the tools developed in robotics, in particular, machine learning (AI) in order to model and anticipate a human teammate. In this talk, we will discuss what makes an effective robotic assistant, and considerations for modeling, anticipating, and collaborating with a human teammate.
