Company Filing History:
Years Active: 2025
Title: The Innovations of Daniel Korat
Introduction
Daniel Korat is an accomplished inventor based in Tel Aviv, Israel. He has made significant contributions to the field of deep learning and knowledge-based systems. His work focuses on enhancing the efficiency of information retrieval through innovative methodologies.
Latest Patents
Daniel Korat holds a patent for "Methods and apparatus for a knowledge-based deep learning refactoring model with tightly integrated functional nonparametric memory." This patent describes a non-transitory computer-readable medium that includes instructions for estimating information extraction costs from both local and remote knowledge bases. The invention allows for the selection of the most efficient information source, querying it, and storing the retrieved information in a local knowledge base for future use.
Career Highlights
Korat is currently employed at Intel Corporation, where he applies his expertise in deep learning and knowledge management. His innovative approaches have contributed to advancements in the company's technological capabilities.
Collaborations
Some of his notable coworkers include Gadi Singer and Nagib Hakim, who collaborate with him on various projects within the company.
Conclusion
Daniel Korat's work exemplifies the intersection of technology and innovation in the field of deep learning. His contributions continue to shape the future of knowledge-based systems and information retrieval.