Cerebri Ai Inc.

Michael Thomas Wegan

Gabriel M Silberman

Lee David Harper

Jean Joseph Belanger

Alain Charles Briancon

Thejas Narayana Prasad

David Alexander Curry

Luke Philip Reding

Gregory Klose

Alain Briançon

Andrew Kraemer

Arun Prakash

Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

Privacy and proprietary-information preserving collaborative multi-party machine learning

Collaborative multi-parties/multi-sources machine learning for affinity assessment, performance scoring, and recommendation making

Provided is a process, including: obtaining a first training dataset of subject-entity records; training a first machine-learning model on the first training dataset; forming virtual subject-entity records by appending members of a set of candidate action sequences to time-series of at least some of the subject-entity records; forming a second training dataset by labeling the virtual subject-entity records with predictions of the first machine-learning model; and training a second machine-learning model on the second training dataset.

Machine-learning models to leverage behavior-dependent processes

Multi-stage machine-learning models to control path-dependent processes

Growing community of inventors

East Lansing, MI, United States of America

Michael Thomas Wegan