New Approach for Easily Merging Data Models Brings 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.