This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: The Innovations of Andrew Geng
Introduction
Andrew Geng is an accomplished inventor based in Madison, WI (US). He has made significant contributions to the field of technology, particularly in the area of joint text-image encoders. His innovative work has led to the development of techniques that enhance the performance of these encoders, which are crucial for various applications in artificial intelligence and machine learning.
Latest Patents
One of Andrew Geng's notable patents is titled "Fine-tuning joint text-image encoders using reprogramming." This patent focuses on techniques to fine-tune a joint text-image encoder via model reprogramming. The joint text-image encoder consists of an image encoder and a text encoder that are trained together. The process involves receiving an image and a corresponding caption, generating a reprogrammed image and caption using specific functions, and further training the encoders with these reprogrammed inputs. This innovative approach allows for the backpropagation of parameters to produce a fine-tuned joint text-image encoder through transfer learning. Andrew holds 1 patent in this area.
Career Highlights
Andrew Geng is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in artificial intelligence and machine learning. His expertise in fine-tuning encoders has positioned him as a valuable asset in the tech industry.
Collaborations
Due to space constraints, the collaborations section will be omitted.
Conclusion
Andrew Geng's innovative work in fine-tuning joint text-image encoders showcases his expertise and contributions to the field of technology. His patent and role at IBM highlight his commitment to advancing artificial intelligence and machine learning.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
