January 11th - 13th, Stanford University, CA

At the 2020 Silicon Valley AI Application Conference, we invite industry leaders from the San Fransisco Bay Area as main speakers to share their insight and expertise. Embrace this opportunity to discover the latest issues, technologies, and trends in the world of AI applications in the heart of Silicon Valley.

Recent conversations in artificial intelligence have been focused on deep learning architectures and ImageNet benchmark scores. Despite the abundance of machine learning tools and platforms, we have not seen much progress in the application of AI.

Meaningful application of AI requires collaboration between multiple academic disciplines as well as industry. This includes engineering efforts in the ML pipeline, data collection and processing, discussion on social impact, expertise from countless applications domains including medicine, linguistics, finance, psychology, etc. and more.

ASCAAI is an international platform for meaningful conversation between academic professionals and industry experts, surrounding AI applications. ASCAAI welcomes members to share the latest trends in their respective fields and share their contributions to academia and industry at our international conferences. We encourage networking between participants for further collaboration opportunities beyond our conferences, including joint research, industry projects and more.

ASCAAI, SINGAPORE 2019

Convergence Examples

Convergence Case 1

Computational Linguistics

Causality in Cognitions Lab at Stanford
Tobias Gerstenberg, Assistant Professor in Psychology at Stanford, CA.

Some of the questions th at guide our research:
1. How does the mind learn to represent the causal structure of the world?
2. What is the relationship between causal thinking and counterfactual simulation?
3. How do we hold others responsible for the outcomes of their actions?

In our research, we formalize people’s mental models as computational models that yield quantitative predictions about a wide range of situations. To test these predictions, we use a combination of large-scale online experiments, interactive experiments in the lab, and eye-tracking experiments.

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Convergence Case 2

Mechanical Engineering + Biologic + Computer Science

Stress Relaxing Hyaluronic Acid-Collagen Hydrogels Promote Cell Spreading, Fiber Remodeling, and Focal Adhesion Formation in 3D Cell Culture
Sungmin Nam, PhD Mechanical Engineering at Stanford, CA.

This study presents a new, broadly adaptable materials platform for mimicking key of extracellular matrix (ECM) features of viscoelasticity and fibrillarity in hydrogels for 3D cell culture and sheds light on how these mechanical and structural cues regulate cell behavior.

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Convergence Case 3

Interdisciplinary Research: Computational + Existing Social Sciences and Arts

Many social scientists are already facing some of the problems raised by Big Data, and many types of social scientists are looking to participate in this kind of research in the future. We believe that social research is at a turning point. Successful collection and rigorous analysis of this data requires new technologies, new collaborations, new research methods, and new calculation tools.

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Membership Benefits

Publishing journals
Data management and accessibility for interdisciplinary research
Training new analytic software
Network to find domestic and international collaborators

Current Operations

Facilitating Trans-Pacific Collaborative Relationships
Building Data Library for Interdisciplinary Research and Projects
International Conferences and Workshops
Facilitating Educational Programs In Collaboration with South Korean Universities
Facilitating Internship Programs in Silicon Valley
Facilitating AI Application Project in Singapore, Vietnam
Organization of AI-JAM Student Competition in Silicon Valley

Welcome to American Society for Convergent Applications in Artificial Intelligence (ASCAAI)

ASCAAI San Fransisco, 2020