This inventor holds 1 USPTO granted patent. Top assignee: Moodify Ltd.. 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: Giyora Hasson: Applying Machine Learning to Olfactory Prediction.
Introduction
Giyora Hasson is an inventor based in Tel Aviv, Israel. His work includes a patent application for using machine learning to predict olfactory properties from molecular structures. Hasson is associated with Moodify Ltd.
Latest Patents
Hasson is credited with one patent: 1 patent. The invention, “Predicting Olfactory Properties of Molecules Using Machine Learning,” describes a system and method for estimating a molecule’s olfactory properties from its chemical structure.
The method represents a molecule’s spatial surface by selecting surface points and recording each point’s location and local physicochemical properties. A machine-learned model processes this surface-points representation and produces predictions about one or more olfactory properties. The patent also describes predicting molecular chemical structures that enable specified olfactory properties.
Career Highlights
Hasson’s listed invention applies machine learning to molecular analysis, connecting a molecule’s three-dimensional surface characteristics with predictions about how it may smell. His work is associated with Moodify Ltd.
Collaborations
Hasson’s listed coworkers include David Silver and Kiril Kiriyevsky.
Conclusion
Giyora Hasson’s patent work focuses on using machine learning to predict olfactory properties from molecular structure, in association with Moodify Ltd.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile