Abstract: A system and methods are presented for the generation of hybridized efficient genetic algorithms (EGAS) applied to bi-objective optimization problems. Applications are made to engineering systems involving collective behaviors, including network computing, robotics and evolvable hardware.

Abstract: The invention relates to multi-planar memory components in a three-dimensional integrated circuit system configuration. A multi-planar memory system consisting of a plurality of memory circuit planes in a three-dimensional system on a chip (3D SoC) comprised of a plurality of memory layers, at least one logic circuit layer and an interface configured to provide access to memory and logic circuit layers.

Abstract: A selective access memory circuit (SAMC) is described. The SAMC is a class of complex programmable memory device (CPMD) that reconfigures access to memory cells by using gates in an integrated gate array mechanism configured at regular intervals in memory arrays. CPMDs are applied to embedded controllers, microprocessors, DSPs and system on chip (SoC) circuit architectures.

Abstract: The invention provides a system for organizing, integrating, coordinating and customizing an individual physical fitness program by employing a set of database management systems, computer platforms and differentiated physical fitness devices and components.

Abstract: The invention develops models of functional proteomics. Simulation scenarios of protein pathway vectors and protein-protein interactions are modeled from limited information in protein databases. The system focuses on three integrated subsystems, including (1) a system to model protein-protein interactions using an evolvable Global Proteomic Model (GPM) of functional proteomics to ascertain healthy pathway operations, (2) a system to identify haplotypes customized for specific pathology using dysfunctional protein pathway simulations of the function of combinations of single nucleotide polymorphisms (SNPs) so as to ascertain pathology mutation sources and (3) a pharmacoproteomic modeling system to develop, test and refine proposed drug solutions based on the molecular structure and topology of mutant protein(s) in order to manage individual pathologies. The system focuses on simulating the degenerative genetic disease categories of cancer, neurodegenerative diseases, immunodegenerative diseases and aging.

Abstract: The invention describes apparatuses for nano-scale integrated circuits applied to nanorobotics. Using EDA techniques, the system develops fully functional nano ICs, including ASICs and microprocessors. Three dimensional nano ICs are disclosed for increased efficiency in nanorobotic apparatuses. Nano-scale FPGAs are disclosed. The nano-scale semiconductors have applications to nano-scale and micro-scale robots.

Abstract: Modular program code is comprised of software blocks and software elements. Software modules self-configure to solve computer network problems. Software modules are applied to the organization and management of data objects in databases and in computer networks. The modular program code components self-assemble to solve problems in computer networks in real time using metaheuristics and modeling.

Abstract: A system of self-organizing mobile robotic agents (MRAs) in a multi-robotic system (MRS) is disclosed. The MRAs use simulations to organize the behaviors of groups of robots in the MRS. The MRAs use software agents to model the MRS and the environment. By developing simulations of environmental change, the system provides methods for the MRS to interact with its environment to produce collective epigenetic behaviors.

Abstract: A high performance 3D semiconductor is described with cubic dimensional multi-node reprogrammable components for multi-functionality and intelligent behaviors. The system is modeled with dynamic EDA techniques. Applications of the intelligent SoC are specified, particularly embedded, multifunctional, DSP and high-performance computing applications.

Abstract: 3D FPGAs are elucidated with (a) interlayer information sharing, (b) intermittent and variable timing of layer configuration and (c) multilayer multi-functionality. 3D FPGAs are applied to reprogrammable SoCs.

Abstract: The system presents applications of personalized medicine with intelligent medical devices (iMDs) and customizes therapies to complex problems involving neurological, cardiovascular, cancer, immunological and endocrinological diseases.

Abstract: The system integrates medical diagnostics with therapeutics in an intelligent medical device (iMD) system. Solution options are generated and evaluated by the iMD's diagnostic module, which forwards a custom solution to the therapeutics module. The therapeutics module administers a customized combination of drugs to solve a specific set of pathologies on demand. The system automatically monitors the therapeutic operation, assesses and analyzes the biological system feedback, refines the drug combination, and delivers the refined drugs to the patient.

Abstract: The system organizes a network of intelligent medical devices (iMDs) for diagnostic and therapeutic functions. The iMD network uses distributed computing functionality to share logic and memory operations. The system uses wires and tubes to connect (a) iMDs between each other, (b) iMDs and sensor probes and (c) internal iMDs and external devices, including computers. The ability to network the iMDs expands the functionality between the iMDs. The iMDs share specialized functions, and multitask, to solve complex medical problems.

Abstract: The intelligent medical device (iMD) system coordinates the dynamics of hardware and software components in a self-organizing autonomous system. The iMD system uses advanced modeling and metaheuristics to solve complex optimization problems involving the customization of medical therapies. The system uses evolvable hardware and reprogrammable features to coordinate the diagnostic and therapeutic functions of the iMDs.

Abstract: The multifunctional medical device contains system on chip (SoC) computation functionality to organize several functional modules consisting of analytical, diagnostic and therapeutic tasks in the microfluidic assembly. Micro-valves, micro-tubes, micro-wires and gates organize the chambers of the flexible modules which hold multiple chemical and biological agents for combination on demand.

Abstract: The system describes the diagnostic procedures involving the intelligent medical device (iMD) system. After data is collected from a patient by using cellular and molecular samples, the device detects and analyzes pathology. The system uses lab on a chip (LOC) data analysis, including microarrays, to analyze DNA mutations and protein anomalies. The medical pathologies are modeled by the iMD computer system and solutions to multi-objective optimization problems are organized using scenario options. The diagnostic functionality of the iMD system also tracks complex regulatory network pathologies.

Abstract: A system is disclosed for the automated correction of optical and digital aberrations in a digital imaging system. The system includes (a) digital filters, (b) hardware modifications and (c) digital system corrections. The system solves numerous problems in still and video photography that are presented in the digital imaging environment.

Abstract: A system is disclosed for the automated correction of optical and digital aberrations in a digital imaging system. The system includes digital filtration and digital system corrections to optical and digital aberrations. The system addresses issues in still and video photography that are presented in the digital imaging environment.

Abstract: A hybrid router for dynamical control systems is described. The mobile hybrid software router (MHSR) combines distinctive computational and mathematical techniques, including evolutionary computation (EC), probabilistic simulations (PS), machine learning and artificial neural networks (A-NNs), in order to solve unique problems encountered in an unknown environment in real time. Embodied in intelligent mobile software agents (IMSAs), the MHSR operates within a multi-agent system (MAS) to continually optimize system operation. The MHSR is applied to several major complex system categories. In one embodiment of the system, the MHSR is implemented in hardware, including continuously programmable field programmable gate arrays (CP-FPGAs), for perpetually reconfigurable evolvable hardware operation. Whether in application-specific or multi-functional mode, the MHSR is useful to groups of agents in intelligent systems for adaptation to uncertain environments in order to perform self-organization capabilities.

Abstract: A commercial search agent (CSA) is used to access data in a distributed communications system. An initial search request constitutes a buyer's first search query at sellers' commercial database network. Analytical agents and seller promotions are used to inform the CSA, while negotiation commences after the initial RFQ. CSA's may be informed by analytical agents.