Goldens Bridge, NY, United States of America

Michael Katz


Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2025

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Michael Katz: Innovator in Scenario Planning and Machine Learning

Introduction

Michael Katz is a notable inventor based in Goldens Bridge, NY (US). He has made significant contributions to the fields of scenario planning and machine learning. With a total of 2 patents, Katz has developed innovative methods that leverage technology to enhance decision-making processes.

Latest Patents

Katz's latest patents include a "Method and system for automating scenario planning." This invention involves a computer system, a computer program product, and a computer-implemented method that utilizes machine learning (ML) and artificial intelligence (AI) to automate scenario planning. The system captures a general scenario planning (GSP) problem and provides solutions in the form of trajectories. Another significant patent is "Creating satisficing planners with deep learning." This invention focuses on methods for selecting components for a satisficing planner using ML, particularly deep learning (DL). It includes choosing search algorithm components and search refinement components to enhance the planner's effectiveness.

Career Highlights

Michael Katz is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore and develop advanced technologies that address complex planning challenges. His expertise in machine learning and artificial intelligence has positioned him as a key player in the innovation landscape.

Collaborations

Katz collaborates with Patrick Christoph Ferber, contributing to the development of cutting-edge technologies in their field. Their partnership exemplifies the collaborative spirit that drives innovation in technology.

Conclusion

Michael Katz is a distinguished inventor whose work in scenario planning and machine learning has led to valuable patents. His contributions continue to influence the way organizations approach complex decision-making processes.

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