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Autonomous Sensor Deployment: Imagine sensors, positioning systems, artificial intelligence capabilities and wireless communications on active rail cars, all autonomously inspecting railways.
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Degree in Computer Science, Robotics, Electrical Engineering, or a related field, with a focus on artificial intelligence, machine learning, or robotics. Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology.
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We integrate off the shelf and new development efforts to sustain and enhance existing architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (Client) and cross-domain transfer systems to provide cutting edge requirements management, task coordination, data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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Support software development in the following domains: computer vision and image processing, image simulation, high power microwave systems modeling and simulation, laser source generation and effects modeling, atmospheric modeling, computational electromagnetics (CEM), space domain awareness (SDA), high performance computing (HPC), and computer aided design (CAD) tools, artificial intelligence (AI) and machine learning (ML) techniques, among others.
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Cutting-Edge Machine Vision: We're in the business of AI and data science. + Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology.
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Software Engineering, Intelligence Community, Java EE, Amazon AWS Consulting Partner, GSA Schedule, Microsoft Partner, Cross Domain Solutions, Business Automation, Business Intelligence, Artificial Intelligence & Machine Learning, Content Management, and Integrated Data Management.
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Experience with the application of Machine Learning and Artificial Intelligence towards research in human cognition, behavior, personality, or mental health. Draw on deep technical knowledge and subject matter expertise to advise clients in multiple areas, including clinical psychology, psychiatry, neuroscience, and psychometrics, with an eye toward applications, such as digital mental health, psychological wellbeing, and predictive analytics and machine learning for personalized medicine and prevention.
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Develops an understanding of the Microsoft toolset in artificial intelligence (AI) and machine learning (ML) (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks.
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Are you fascinated by the possibilities presented by the IoT, machine learning (ML), and artificial intelligence (AI) advances? Across private and public sectors from fraud detection to cancer research, to national intelligence, you know the answers are in the data.
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Continuously follow the advancement of machine learning and artificial intelligence to update your knowledge and skills in order to solve business problems with the most efficient methodologiesStrong programming skills in Python and machine learning libraries (e.g., sklearn, lightgbm, xgboost, pytorch, tensorflow, keras, etc.
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Bachelor's or Master's degree with 5+ years of experience in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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The Department of Defense's (DoD) Chief Digital and Artificial Intelligence Office (CDAO) is at the forefront of supporting the DoD with the adoption of innovative technologies such as data, analytics, and artificial intelligence to help accelerate predictions, forecasts, and interpretations for both strategic and tactical decisions across the enterprise.
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Internet of Things (IoT), artificial intelligence (AI), quantum computing) and create white papers, as requested. Analyze continuous monitoring, configuration management, vulnerability management, asset management, software management and self-reported data to identify trends and anomalies cybersecurity performance and mitigation of risks.
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Familiarity with legal technology concepts such as document assembly, robotic process automation, artificial intelligence, machine learning, and predictive coding. Demonstrated proficiency in user experience design and data visualization applications (e.g. Microsoft Power BI, Tableau.
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artificial intelligence machine jobs Title: data science Company: Capital One in Falls Church, VA
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