news

New Approach for Easily Merging Data Models Brings Adaptable, Multi-Tasking AIs Closer to Reality

Georgia Tech researchers from the School of Interactive Computing have developed a novel method for merging AI data models. This approach makes creating systems that can adapt and multitask across different domains easier.

The innovation will help to advance self-driving vehicles, chat assistants, and other AI applications. It could lead to more versatile and efficient AI tools.Click to read the full story on the College of Computing website.

 
 
 

Media

Georgia Tech Ph.D. students George Stoica and Pratik Ramesh have developed a new approach for merging data models that brings adaptable, multi-tasking AIs closer to reality
Georgia Tech Ph.D. students George Stoica and Pratik Ramesh have developed a new approach for merging data models that brings adaptable, multi-tasking AIs closer to reality

Summary

A new artificial intelligence innovation developed by Georgia Tech aims to improve the alignment of specialized data models by combining them to create a single, smarter AI that can perform many kinds of tasks well.


 

Details

Contact: Josh PrestonResearch Communications ManagerGeorgia Tech College of Computingjosh.preston@cc.gatech.edu

Sidebar Content

No sidebar content

Groups

Status

  • Workflow Status:Published
  • Created By:Ben Snedeker
  • Created:04/18/2025
  • Modified By:Ben Snedeker
  • Modified:04/18/2025

Related Links

  • No related links.

Categories

Keywords