| QUANTUM LEAP RESEARCH INC. Patent applications |
| Patent application number | Title | Published |
|---|
| 20120011170 | COLLABORATION PORTAL - COPO - A SCALEABLE METHOD, SYSTEM AND APPARATUS FOR PROVIDING COMPUTER-ACCESSIBLE BENEFITS TO COMMUNITIES OF USERS - The present invention, known as The Collaboration Portal (COPO), relates generally to the field of automated entity, data processing, system control, and data communications, and more specifically to an integrated method, system, and apparatus for providing computer-accessible benefits for communities of users. It provides a framework for provisioning computer-accessible benefits for communities of users, and can efficiently and robustly distribute the processing in behalf of those users over a decentralized network of computers. The field of the invention generally encompasses enabling appropriate and desired communication among communities of users and organizations, and providing information, goods, services, a works, opportunities, and connections among users and organizations. | 01-12-2012 |
| 20120004893 | Methods for Enabling a Scalable Transformation of Diverse Data into Hypotheses, Models and Dynamic Simulations to Drive the Discovery of New Knowledge - The present invention relates to a method for the automatic identification of at least one informative data filter from a data set that can be used to identify at least one relevant data subset against a target feature for subsequent hypothesis generation, model building and model testing. The present invention describes methods, and an initial implementation, for efficiently linking relevant data both within and across multiple domains and identifying informative statistical relationships across this data that can be integrated into agent-based models. The relationships, encoded by the agents, can then drive emergent behavior across the global system that is described in the integrated data environment. | 01-05-2012 |
| 20110231356 | FlexSCAPE: Data Driven Hypothesis Testing and Generation System - The present invention relates to a method for generating hypotheses automatically from graphical models built directly from data. The method of the present invention links three key scientific concepts to enable hypothesis generation from data driven hypothesis-models: including the use of information theory based measures to identify informative feature subsets within the data; the automatic generation of graphical models from the informative data subsets identified from step one; and the application of optimization methods to graphical models to enable hypothesis generation. The integration of these three concepts can enable scalable approaches to hypothesis generation from large, complex data environments. The use of graphical models as the model representation can allow prior knowledge to be effectively integrated into the modeling environment. | 09-22-2011 |
| 20090116231 | Lighting Assembly Featuring a Plurality of Light Sources with a Windage and Elevation Control Mechanism Therefor - The present invention relates to a lighting assembly having a principal light source, at least one secondary light source, and a focusing element adapted to focus light emanating from the principal light source and adapted to let light emanating from the at least one secondary light source pass through the focusing element. The invention also relates to a windage and elevation control mechanism having a longitudinal and lateral mobile unit and a receiving unit. The mobile unit is adapted to receive a device to be adjusted, and has two aligned protrusions located respectively on longitudinal opposite sides thereof. The receiving unit defines a cavity adapted to receive the mobile unit. The cavity is defined by facing surfaces having complimentary channels adapted to receive the protrusions of the mobile unit. | 05-07-2009 |
| 20090055150 | SCALABLE, COMPUTATIONALLY EFFICIENT AND RAPID SIMULATION SUITED TO DECISION SUPPORT, ANALYSIS AND PLANNING - The present invention provides a means for performing scalable, computationally efficient and rapid simulations of complex or complex adaptive systems realized through the dynamic interaction of multiple modeling components to generate outputs suited to decision support, analysis and planning. In the context of disease modeling, these outputs can be used for analyzing the impact of disease and the potential value of the use of pharmaceutical and non-pharmaceutical interventions. | 02-26-2009 |
