Stanford AI Lab Blog

APRIL 25, 2022

Guibas Contact : kaichun@cs.stanford.edu Links: Paper Keywords : embodied ai, 3d scene graph, interactive perception VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects Authors : Ruihai Wu*, Yan Zhao*, Kaichun Mo*, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas J.

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Google Research AI blog

APRIL 30, 2023

This year we are presenting over 100 papers and are actively involved in organizing and hosting a number of different events, including workshops and interactive sessions.

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Museum 2.0

SEPTEMBER 26, 2012

Museum programs can also bridge different groups that might not typically interact such as the Ulster Folk and Transport Museum’s Educational Residential Centre, which designed a program specifically to bridge children of two groups engaged in social conflict, Catholics and Protestants.

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The AI Alignment Forum

FEBRUARY 28, 2025

Another reason for why I am excited about the theoretical reward learning research agenda is that it (plausibly) is important to have a deeper general understanding of the dynamics of pursuing goals, regardless of how exactly those goals are pursued.

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Museum 2.0

JUNE 2, 2010

This session was participatory in several ways, including interactive music-making machines in the audience and half the time reserved for Q&A. A few things I learned from the presentations and discussion: Dan shared a useful 4-step mental model for the progression of how institutions move towards participatory engagement.

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The AI Alignment Forum

FEBRUARY 7, 2025

How does that caring interact with Claude 3 Opuss other motivations? Example projects: Investigating the way that deep learning differs from the idealized limits studied in Singular Learning Theory , the Neural Tangent Kernel ( Jacot et al. ), or well-known stochastic differential equations ( Li et al. ). Abbe et al. )

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Beth's Blog: How Nonprofits Can Use Social Media

JUNE 29, 2016

Cindy and Jeanne wrote this great reflection of what we learned and how we facilitated this very interactive session. The session not only included training tips, but modeled them during the session so that the audience interacted and practiced skills directly. Incorporate the three learning styles: visual, audio, and somatic.

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Google Research AI blog

NOVEMBER 28, 2022

Thorben Frank, Oliver T.

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The AI Alignment Forum

MARCH 28, 2025

How do they interact with doing mechanistic interpretability? The cross means that different layers get to interact. And to actually get a proof, you need to establish that this linear interaction hypothesis holds. So you need to bound the interactions between different features in the crosscoder, different latents.

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