Jamal Zabihi

Title: Jamal Zabihi: Innovator in Computerized Training Models

Introduction

Jamal Zabihi is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of computer science, particularly in the development of methods for training computer-executed models. With two patents to his name, Zabihi's work focuses on enhancing the recognition of numerical quantities through innovative techniques.

Latest Patents

Zabihi's latest patents include a computerized method for training a computer-executed model for recognizing numerical quantities. This method involves receiving an input, which includes at least one unit expression, through an input module. The input module searches for numeric values and the unit expression within a text corpus, which consists of sets of words and their frequency of occurrence. The identified sets, which combine numeric values and unit expressions, are then utilized by a synthetic text generation module to create sentences. A training dataset is generated by a labeling module that auto-labels features in the generated sentences based on the numeric value and unit expression. Finally, a training module trains the model using the input derived from the training dataset.

Career Highlights

Throughout his career, Jamal Zabihi has worked with prominent companies such as Kira Corporation and Zuva Inc. His experience in these organizations has allowed him to refine his skills and contribute to various innovative projects.

Collaborations

Zabihi has collaborated with talented individuals in his field, including his coworker Alexander Karl Hudek. Their joint efforts have further advanced the development of technologies related to computer-executed models.

Conclusion

Jamal Zabihi is a distinguished inventor whose work in computerized training models has the potential to revolutionize the way numerical quantities are recognized. His innovative patents and career achievements reflect his dedication to advancing technology in this domain.