Social
Yao Xie
[ Ballroom C ]
Abstract
The world of machine learning is vast and continually expanding, and one of the most exciting frontiers is the intersection with information theory. As the two fields continue to intermingle and influence each other, it's essential to cultivate a community of scholars and practitioners who share a passion for these disciplines. With this in mind, we organize the social session at the International Conference on Machine Learning (ICML) entitled "Information Theory at ICML: A Confluence of Minds". The primary objective of this social session is to provide a platform for the vibrant community of scholars, researchers, and practitioners coming from the information theory community attending ICML. This gathering aims to foster interactions, collaborations, and friendly networking among like-minded individuals, facilitating discussions about the latest research and trends at the intersection of machine learning and information theory.
Social
Black in AI Events · Kalesha Bullard · Stacy Fay Hobson · Gautam Kamath
[ Meeting Room 313 ]
Abstract
AI is advancing faster than our understanding of its impact on society. This fireside chat is a moment of reflection to explore the effects of AI. From economical implications to developmental issues and environmental impacts, our goal is to nurture a rich discussion with researchers and practitioners. Featuring speakers from long-time players and emerging AI institutes, we invite you to this open conversation featuring hot opinions and plenty of questions worth thinking further.
Social
Samira Abbasgholizadeh Rahimi · Farbod Khameneifar
[ Meeting Room 315 ]
Abstract
Digital twins with Artificial Intelligence (AI) capabilities are computer-generated models of actual products, procedures, or systems that offer real-time performance analysis and insights. The incorporation of AI makes it possible to analyse the data produced by these systems in a more precise and effective manner. These digital twins are employed to simulate, monitor, and improve real systems.
This social event will explore digital twin technologies powered by AI and how they might be utilized to link the virtual and physical worlds. We will give a general overview of AI-enabled digital twin technologies and demonstrate practical applications of AI-enabled digital twins in manufacturing, healthcare, and aerospace. We will also discuss the opportunities and challenges that come with implementing it across different sectors.
There will be group discussions on the challenges and opportunities of digital twins powered by AI at the event to discuss how these technologies will continue to influence the future of various industries.
Target audience: Professionals, researchers, and students who are interested in AI-enabled digital twins and their applications.
Social
Jiyoo Chang
[ Ballroom C ]
Abstract
The development and deployment of AI often lacks input from impacted communities such as warehouse workers who directly interact with AI in their jobs. As a two-part social, “Inclusive AI: Magnifying Marginalized Communities” will introduce ways to include and bring in the perspectives of marginalized stakeholder communities. In the first hour, participants will be introduced to case studies that walk through the engagement process with various worker groups. Along with the case studies, participants will reflect on ways to responsibly engage with the broader community in their own work. In the second half, we will host a happy hour for practitioners to connect with others about community engagement, participatory methods, and inclusive AI. Much like speed dating events, we will supply the conversation topics and refreshments; participants bring the curiosity and conversation!
Social
Mubbasir Kapadia · Daniel Ritchie · Honglu Zhou
[ Ballroom B ]
Abstract
"This event explores the role of Generative AI in shaping the next generation of the Metaverse, fostering an environment where everyone can be a creator. The program includes presentations from researchers and practitioners from both academia and industry, and will cover:
(1) Recent trends in multimodal content generation research, encompassing the fusion of text, image, and video. The discussion will emphasize maintaining control over the latent space and achieving compositionality in AI-generated content.
(2) The application of neuro-symbolic representations for 3D Generative AI and geometric learning on discrete surfaces in 3D content creation.
(3) Practical implementations of Generative AI within Roblox with live demonstrations of how language models and image generation techniques can streamline the creation of interactive 3D objects and game worlds.
Agenda:
- Mubbasir Kapadia (Roblox and Rutgers): Introduction
- Honglu Zhou (NEC Labs): Illuminating the Metaverse: Unveiling NEC Labs' Journey in Revolutionizing AIGC with Compositionality
- Derek Liu (Roblox Research): Geometric Learning on Discrete Surface Meshes
- Daniel Ritchie (Brown University): Neuro-symbolic Methods for 3D Generative AI
- Kartik Ayyar (Roblox): Generative AI in Action at Roblox
Socials
[ Meeting Room 315 ]
Abstract
[ Ballroom C ]
Abstract
[ Meeting Room 313 ]
Abstract
[ Meeting Room 323 ]
Abstract
[ Ballroom A ]
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[ Virtual ]
Abstract
[ Ballroom A ]
Abstract
[ Meeting Room 315 ]
Abstract
[ Ballroom C ]
Abstract
[ Meeting Room 313 ]
Abstract
[ Ballroom B ]
Abstract
[ Meeting Room 314 ]
Abstract
Abstract