Abram Turner

Title: Abram Turner and Predictive Resource Allocation

Introduction

Abram Turner is an inventor based in Brooklyn, New York, whose patent work concerns machine learning and predictive control. He is associated with Nasdaq, Inc. His listed patent count is 1 patent.

Latest Patents

Turner’s patent, “Systems and Methods of Optimizing Resource Allocation Using Machine Learning and Predictive Control,” describes a computer system that receives data sets from source computers and uses a predictive machine learning model to estimate future attribute values for data objects.

The system ranks objects using those predictions and can adjust the ranking based on prior rankings. It then replaces a subset of lower-ranked objects with higher-ranked objects to create a new ranking. The system calculates performance metrics against benchmark data and may use those metrics to retrain the model and improve its performance.

Career Highlights

Turner’s listed invention focuses on applying predictive machine learning to resource allocation. Its approach combines forecasting, ranking, performance measurement, and model retraining in a computer-based process.

Collaborations

Turner’s listed coworkers include Keon Shik Kim and Cole Witaszek. The available information identifies his association with Nasdaq, Inc., but does not specify the coworkers’ roles in the patent.

Conclusion

Abram Turner’s patent presents a method for using predictive models and performance feedback to refine rankings and support resource allocation.