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This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.
Location: CoDa W401

This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.
Location: CoDa W401
For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.

For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.
An autonomous system is a software agent capable of performing what appear to be actions, with what appears to be a significant degree of independence and autonomy. Autonomous systems, at least at present, are not genuine moral agents: they do not themselves have moral obligations or permissions. But the programming of an autonomous system is uncontroversially subject to moral evaluation. This talk will consider the general question whether the morality of programming an autonomous system to behave in a certain way in a certain situation is reducible to the morality of a human actor, in its place, behaving in that same way in that same situation. It will consider three ways in which this reduction might fail, based on programmers’ ignorance of who their act affects, on the difference between performing one and multiple instances of the same act, and on the extrinsic effects that can arise from the visibility of programs to others.
