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UW Japanese collaboration: Intelligence in Data Symposium

January 22 @ 12:30 pm - 6:00 pm

In the age of Machine Learning and AI, the success of a system depends heavily on the data. To train an AI model, you need a good quality data and that data must be collected, organized and structured in an intelligent way. So much so that much of the AI system development is structured around how to prepare the incoming data and then processing the out coming data. We will have speakers from academics, leading platform developers and startups who focus on data science and data processing.
Format Fast Paced Presentations Academic + Business Mix Networking and Meetings
Program
Theme : Intelligent Use of Data
From Academics 5 Sessions: 15 min.
Priority theme
+ Social Data
+ Medical Data
+ Material Science Data
+ Data and Machine Learning
+ Others
From Companies 7 sessions 15 min
+ Use of Data in BlockChain
+ Machine Learning and Data
+ Data Preparation
+ Data Processing at the Edge
+ Others
Organizers
Prof Fumio Ohuchi, University of Washington, Dept Material Science & Engineering
Tom Sato Innovation Finders Capital, Managing Partner
Supported by
Washington State Dept of Commerce
eScience Institute, University of Washington
CoMotion, University of Washington (TBC)
Academics
Please contact Prof Ohuchi with a proposal. Subject should be in line with priority theme.
Email : ohuchi@uw.edu
Companies
Please contact Tom Sato at IFC with an idea for 15 min presentation in line with Data and AI/ML. There is a cost to do a presentation.
Email: tom@innovation-finders.com