Pontimax Technologies LLC has announced its new Dynamic Meta-Inferencing (DM-I) Technology, a unique approach to predicate reasoning-based artificial intelligence (AI). DM-I technology combines machine learning (ML) inferencing with Spatiotemporal Contextual Inferencing (SCI) to offer a new capability for user-specified, knowledge-based, generative predicate dynamic reasoning.
According to Ray Keating, the Managing Member of Pontimax Technologies, the core of DM-I technology is its ability to provide Inferencing Goal Events defined by the user based on Predicate Fact Patterns (PFP). The Fact Patterns are dynamically generated, invoked, and evaluated using the DM-I Agent’s Inferencing Engine. Additionally, these Inferencing Goal Predicate Fact Patterns can be composed of ML or SCI Predicate Fact Patterns.
Keating gave two examples to illustrate how DM-I technology works. One involved using motion sensors and an overhead video sensor platform along a military ground mission’s ingress route. Another illustrated how DM-I technology can effectively address Data Firehose Flood-of-Data environments through use of a low-resource IP Originating Address Occurrences Fact Pattern, followed by a resource-intensive Machine Learning-based Suspicious IP Packet Classification Fact Pattern.
Pontimax Technologies began its journey in 1999, focused on AI technology development, building on a history of its predecessor firm’s successes in Rule-Based Expert systems and later, Meta-Data specification-driven software. In 2006, Pontimax originated its Dynamic Meta-Inferencing (DMI) and applied it successfully in multiple applications, including ADLGuardian, a caregiver oversight system to support independent living for autistic spectrum disorder individuals and yrConnected™, Pontimax’s Personal Wellness & Safety Monitoring service.
Ray Keating, Managing Member of Pontimax Technologies, is a graduate of the US Air Force Academy and a combat veteran with forty-four combat missions in Southeast Asia. His record of solid accomplishment in Artificial Intelligence technology started in 1982 when he designed and implemented the first Rules-Based, Expert System used in regular brokerage operations, the Merrill Lynch BASS system.
Pontimax Technologies plans to release the DM-I Agent shortly, followed by an Edge DM-I Agent for providing At-The-Edge highly agile dynamic predications involving operationally critical Edge assets & resources.
