Driver of Innovation Through Intelligent Systems Research CONTACT

Transcription

1 Driver of Innovation Through Intelligent Systems Research CONTACT Kalyan Moy Gupta, PhD, President 163 Waterfront St., Suite 440, National Harbor, MD x700

2 LEADERSHIP STATEMENT Intelligent systems automate and simplify knowledge-intensive tasks and decision making, learn from their mistakes, and adapt to unexpected situations, offering capabilities beyond conventional systems. We provide intelligent systems R&D services, focusing on provable innovation, to help our customers develop novel products and processes. OUR MISSION is to deliver intelligent software solutions that measurably improve decision support effectiveness and autonomy levels. Our solutions shall provide sustained competitive advantage to cost-conscious providers of decision support, autonomous, and training systems. We will accomplish this by pioneering research and development in artificial intelligence techniques in close cooperation with customers. OUR VISION is that communicative autonomous and decision support systems for national security and commercial applications are widespread, modular, safe, reliable, and affordable.

3 VALUES EXCELLENCE: Leave no stone unturned and chase the last grain of rice in the lunch box in the quest for excellence in delivery of products and services. INTEGRITY: Interact with customers, partners, and team members with utmost integrity and respect. DEPENDABILITY: Strive for a reputation of utmost dependability with quality, schedule, and cost in sight at all times. TECHNICAL COURAGE, PERSISTENCE, AND COLLECTIVE INTELLIGENCE: Innovate with courage to decimate the-state-of-the-art, which may be our own, and maintain a strong sense of optimism supported by an equal measure of perseverance, and trust in the power of collective intelligence and teamwork to develop robust, lasting solutions to hard problems. EMPATHY: Empathize with customers and teammates to truly understand their point of view and develop effective solutions. ENJOYMENT: Create and sustain a work environment where innovation and research thrive and are a continuous source of purpose, enjoyment, and fulfillment. CORE COMPETENCIES BASIC AND APPLIED RESEARCH We conduct basic and applied research on a variety of artificial intelligence (AI) topics such as goaldriven autonomy, communicative autonomy, natural language understanding, relational learning, learning and acting in virtual environments and automated web services brokering. We work with you to disseminate research findings via scientific publications and presentations. PROOF-OF-CONCEPT DEVELOPMENT We develop prototypes to showcase and evaluate AI R&D products. We employ software engineering best practices to architect stand-alone and embedded cross-platform systems that can be easily transitioned to production systems. We integrate products from multiple performer teams of research programs for demonstration and evaluation. TEST-BED DEVELOPMENT We develop testbeds for evaluating AI R&D products. Our testbeds provide easy access to extensible components; test problem sets, plug-and-play interfaces for target algorithms, and evaluation metrics. These enable benchmarking and comparison of a family of AI algorithms and technologies. TEST AND EVALUATION We test and evaluate AI methods and software systems at individual performer and research program levels. We design evaluation methods and experiments, collect and prepare test data with crowdsourcing techniques if appropriate, develop evaluation software, conduct experiments, analyze observations, and report findings.

4 SAMPLE PROJECTS Spatio-Temporal Cognition SPATIO-TEMPORAL COGNITION FOR LANGUAGE & SCENE UNDERSTANDING Given a vague spoken command such as Go into the building, how should an autonomous ground vehicle (AGV) or a robot figure out where exactly in the building it should go and which way it should face, or, what it should do once it gets there? How should it respond when asked Where are you? Understanding such commands and responding to such questions requires complex spatiotemporal reasoning. In an ONR-funded basic research program, we have developed two patent pending adaptive algorithms for such reasoning tasks. Our algorithms build on psycholinguistic theories and novel AI approaches to connect perception to action through conceptualization using the ability to elegantly utilize contextualized world knowledge. We have demonstrated the effectiveness of our algorithms in virtual AGVs. Our algorithms and findings provide a strong foundation for the development of robust autonomous agents that can communicate in plain English. Keywords/Captions: Basic Research, Communicative Autonomy, Patents, Learning. Behavior Recognition for Threat Analysis BEHAVIOR RECOGNITION FOR THREAT ANALYSIS A conventional approach to maritime asset protection is to set up a defense perimeter around a high-value asset. However, this is a good approach is a crowded riverine location where enemy could be performing coordinated hostile activity? In an ONR-funded applied research program, and in cooperation with the Naval Research Laboratory, we investigated such questions and demonstrated that algorithms that learn to detect subtle changes in expected behaviors and intents of agents are better at detecting threats and reducing false alarms than perimeter-defense algorithms. We demonstrated the effectiveness of our algorithms on scenarios where multiple sentry unmanned sea surface vehicles (USSVs) protect a high-value maritime asset against multiple attackers. We published our findings in three peer-reviewed conference proceedings; IEEE, SPIE, & FLAIRS. Keywords/Captions: Applied Research, Publications, Behavior Analysis, Threat Detection, Learning Behavior Recognition for Threat Analysis Federated Architecture FEDERATED ARCHITECTURE FOR ANALYSIS OF SOCIO-CULTURAL CONTENT IN LANGUAGE Social elements in a conversation could reveal items of interest such as leadership and the power structure of members engaged in the conversation. Intelligence Advanced Projects Activity (IARPA) ran a basic research program where five leading research teams developed systems that could learn to analyze such conversations to detect power structures and influences. One question was how can the outputs of multiple systems be merged and presented in an intuitive way for intelligence analysts? We responded to this technical challenge by developing the SCIL Test and Evaluation Platform (STEP), a service-oriented architecture for federated rea-

5 soning systems that included a decision-merging algorithm. We also delivered a web user interface (UI) for intelligence analysts to visualize member relationships and access the decision justifications in a web browser. STEP, along with its UI was successfully used by the IARPA program to showcase the effectiveness and the utility of innovative S&T products of its research program. Another question we answered was can test data for such complex interpretive tasks can be cost effectively gathered using a crowdsourcing approach? We ran a series of investigative experiments to confirm that, indeed, a crowdsourcing approach can be used to reliably prepare test data for such tasks in much larger scales, in weeks as opposed to months and at a fraction of the cost it takes to prepare such data manually using in-house subject matter experts. Keywords/Captions: Government R&D program support, Applied Research, Federated Decision Support System, Intelligence Analysis, Crowdsourcing, Science & Technology showcase, Testbeds. Federated Architecture INTERACTIVE DATA MAPPING Some government agencies such as USTRANSCOM must efficiently and accurately broker data between their vendors and customers. This is challenging when vendors and customers subscribe to non-standard and different database schemata. Our client, CDM Technology Inc, now Tapestry Solutions Inc., approached us for a technological solution to reduce the effort in maintaining schema mappings and improve data quality. We delivered a robust and powerful AI symbol and semantic matching technology to support schema mapping, which CDM embedded in their tool, called IMT, and evaluated at USTRANSCOM. We showed that with IMT TRANSCOM would save over 1 person year to improve the data quality. Keywords/Captions: Applied Research, Automated Schema Mapping, Embedded Algorithms ADMINISTRATIVE INFORMATION MANAGEMENT SYSTEM (AIMS) Administrative processes in an organization can span long periods of time and multiple divisions, leading to poor service, errors, and unacceptably long delays. We are re-engineering and overhauling our client s administrative processes to dramatically improve their service quality and process transparency. To support this objective, we have developed and deployed AIMS, a powerful enterprise process engine, to the Information Technology Division of the Naval Research Laboratory to automate their administrative processes. Over 130 users are using it to perform tasks such as process funding documents and reporting scientific project accomplishments. With AIMS, we have dramatically reduced the number of data errors the associated duplicate work, and, at the same time, improved the quality of collected data. Keywords/Captions: Business Process Re-Engineering, Enterprise System, Administrative information. Interactive Data Mapping Administrative Information Management System (AIMS)

6 MARKETS AND CUSTOMERS NAVAL RESEARCH LABORATORY» Code 5510 (Navy Center for Applied Research in Artificial Intelligence)» Code 5501 (Information Technology Division) OFFICE OF NAVAL RESEARCH (ONR)» Code 341 (Human and Bio-Engineering Systems)» Code 311 (Image Analysis and Understanding Program)» Code 32 (Ocean & Battlespace Sensing) Defense Advanced Research Projects Agency (DARPA) (Defense Sciences Office) Intelligence Advanced Research Projects Activity (IARPA) (Incisive Analysis) Tapestry Solutions Inc. a Boeing Company COMPANY PROFILE Knexus Research Corp. is a privately owned company dedicated to providing intelligent systems R&D services to the government and private sectors. Our offices are located in Springfield, Virginia and National Harbor, Maryland. Dr. Kalyan Moy Gupta, an intelligent systems researcher and information technology services professional with over two decades of experience, founded Knexus Research in Since then, it has grown to 10 full-time and 1 part-time employees. Our employees hold advanced degrees (3 PhDs, 5 Masters, and 3 Bachelors) in computer and information science, business, and engineering. Their professional experience ranges from 2-25 years. ACCOMPLISHMENTS & AWARDS Our members specialize in a variety of AI topics such as goal-directed autonomy, communicative autonomy, spatial reasoning and cognition, natural language understanding, information extraction and knowledge discovery, autonomous planning, transfer learning, relational pattern learning, and object classification.» Within a short span of 7 years, along with our clients, we have pioneered the research on many of these topics, and published over 30 articles in leading journals (e.g., the Journal of Machine Learning Research and the Journal of Information Technology and Web Engineering) and peer reviewed conferences (e.g., AAAI & ICCBR).» We have received two Best Research Paper Awards. We received the Best Overall AI Video award in the International Joint Conference on AI in 2009.» For IARPA, we integrated state-of-the-art question answering algorithms from three performer teams into a next-generation Intelligent Question Answering (INQA) system for Intelligence Analysts which was demonstrated to the US Congress.

7 MANAGEMENT KALYAN MOY GUPTA, PHD, FOUNDER & PRESIDENT Kalyan Gupta is an AI Scientist and Entrepreneur with over 20 years of innovation and product development experience. A veteran of two startups, Dr. Gupta acquires funds, leads and conducts intelligent systems research to develop advanced software prototypes and transition them into commercially viable intelligent systems. He has pioneered artificial intelligence (AI) techniques on a wide range of topics such as communicative autonomy, spatial reasoning, anomaly detection, relational learning, information extraction, conversational case-based reasoning, natural language processing, and knowledge management. He has developed intelligent systems applications for activity and threat recognition, multimodal interaction with virtual agents, adaptive web-service brokering, communications prioritization, and conversational diagnosis. Dr. Gupta has over forty publications in reputed journals and peer reviewed conferences on these topics. He has four published patents and two more are pending. Dr. Gupta has lead or contributed to the development of nineteen scientific and research prototypes and six products. Products from his efforts are in use in manufacturing companies such as DuPont, Bombardier, Information Extraction companies such as Cymfony, Inc. and decision support companies such as Tapestry Solutions. He has a Ph.D. in Business Administration from McMaster University, Canada and a Masters Degree in Industrial Engineering from Indian Institute of Technology, Kharagpur, India. MEMBERSHIPS» Association of Computing Machinery» American Association of Artificial Intelligence» Cognitive Science Society» National Defense Industry Association ACCOUNTING SYSTEM» DCCA Approved SECURITY» Facilities Cleared at Secret level

8 Contact Information Kalyan Moy Gupta, PhD President 163 Waterfront Street, Suite 440, National Harbor, MD Ph: x700 KNEXUS RESEARCH Kalyan Moy Gupta, PhD, President 163 Waterfront St., Suite 440, National Harbor, MD x700