A system and method for processing multi-modal microscopy imaging data on small-scale computer architecture which avoids restrictive manufacturer data formats and APIs. The system and method leverage a web-based application made available to microscopy instrument control hardware by which direct visual output of the control hardware is captured and transmitted to an edge computing device for processing by one or more inference models in parallel to construct a composite hyperimage.
Automated Machine Learning Scheme For Software Exploit Prediction
- McLean VA, US Aaron SANT-MILLER - Arlington VA, US Kevin FIELD - Seattle WA, US
Assignee:
Booz Allen Hamilton Inc. - McLean VA
International Classification:
H04L 29/06 G06N 99/00 G06N 7/00
Abstract:
A predictive engine for analyzing existing vulnerability information to determine the likelihood of a vulnerability being exploited by malicious actors against a particular computer or network of computers. The predictive engine relies on multiple data sources providing historical vulnerability information, a plurality of predictive models, and periodic retraining of the prediction ensemble utilizing predictive models. Modeling schemes may also be used when retraining the predictive models forming the prediction ensemble.