Download or read book Controlling Aircraft From Humans to Autonomous Systems written by Aharon David and published by SAE International. This book was released on 2024-09-25 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: Paris, June 18, 1914: Crowds gathered at the “Concours de la Sécurité en Aéroplane” to witness 21-year-old Lawrence Sperry demonstrate his newly invented gyroscopic stabilizer. With his hands in the air, the device flew his Curtiss C-2 flying boat. Only a decade after the Wright brothers’ initial flight, the first n “autopilot” made its public debut. As impressive as this public demonstration was, it was merely a humble, although spectacular moment of foreshadowing. Even today—110 years later—the process of automating aspects of flight has not yet fully concluded, leading to deteriorating insight into the automatic behavior of aircraft systems, and even the waning of human instincts and intuition. Controlling Aircraft—From Humans to Autonomous Systems: Rise of the Machines covers the distancing of humans from their flying machines through more than a century-long process of “assisting” systems introduction, the positive and negative consequences of this process, and mitigation solutions for the negative consequences. Click here to access the full SAE EDGETM Research Report portfolio. https://doi.org/10.4271/EPR2024020

Download or read book Aircraft Control and Simulation written by Brian L. Stevens and published by John Wiley & Sons. This book was released on 2015-11-02 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get a complete understanding of aircraft control and simulation Aircraft Control and Simulation: Dynamics, Controls Design, and Autonomous Systems, Third Edition is a comprehensive guide to aircraft control and simulation. This updated text covers flight control systems, flight dynamics, aircraft modeling, and flight simulation from both classical design and modern perspectives, as well as two new chapters on the modeling, simulation, and adaptive control of unmanned aerial vehicles. With detailed examples, including relevant MATLAB calculations and FORTRAN codes, this approachable yet detailed reference also provides access to supplementary materials, including chapter problems and an instructor's solution manual. Aircraft control, as a subject area, combines an understanding of aerodynamics with knowledge of the physical systems of an aircraft. The ability to analyze the performance of an aircraft both in the real world and in computer-simulated flight is essential to maintaining proper control and function of the aircraft. Keeping up with the skills necessary to perform this analysis is critical for you to thrive in the aircraft control field. Explore a steadily progressing list of topics, including equations of motion and aerodynamics, classical controls, and more advanced control methods Consider detailed control design examples using computer numerical tools and simulation examples Understand control design methods as they are applied to aircraft nonlinear math models Access updated content about unmanned aircraft (UAVs) Aircraft Control and Simulation: Dynamics, Controls Design, and Autonomous Systems, Third Edition is an essential reference for engineers and designers involved in the development of aircraft and aerospace systems and computer-based flight simulations, as well as upper-level undergraduate and graduate students studying mechanical and aerospace engineering.

Download or read book Autonomy Research for Civil Aviation written by National Research Council and published by National Academies Press. This book was released on 2014-07-23 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development and application of increasingly autonomous (IA) systems for civil aviation is proceeding at an accelerating pace, driven by the expectation that such systems will return significant benefits in terms of safety, reliability, efficiency, affordability, and/or previously unattainable mission capabilities. IA systems range from current automatic systems such as autopilots and remotely piloted unmanned aircraft to more highly sophisticated systems that are needed to enable a fully autonomous aircraft that does not require a pilot or human air traffic controllers. These systems, characterized by their ability to perform more complex mission-related tasks with substantially less human intervention for more extended periods of time, sometimes at remote distances, are being envisioned for aircraft and for air traffic management and other ground-based elements of the national airspace system. Civil aviation is on the threshold of potentially revolutionary improvements in aviation capabilities and operations associated with IA systems. These systems, however, face substantial barriers to integration into the national airspace system without degrading its safety or efficiency. Autonomy Research for Civil Aviation identifies key barriers and suggests major elements of a national research agenda to address those barriers and help realize the benefits that IA systems can make to crewed aircraft, unmanned aircraft systems, and ground-based elements of the national airspace system. This report develops a set of integrated and comprehensive technical goals and objectives of importance to the civil aeronautics community and the nation. Autonomy Research for Civil Aviation will be of interest to U.S. research organizations, industry, and academia who have a role in meeting these goals.

Download or read book Autonomous Vehicles in Support of Naval Operations written by National Research Council and published by National Academies Press. This book was released on 2005-08-05 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autonomous vehicles (AVs) have been used in military operations for more than 60 years, with torpedoes, cruise missiles, satellites, and target drones being early examples.1 They have also been widely used in the civilian sector-for example, in the disposal of explosives, for work and measurement in radioactive environments, by various offshore industries for both creating and maintaining undersea facilities, for atmospheric and undersea research, and by industry in automated and robotic manufacturing. Recent military experiences with AVs have consistently demonstrated their value in a wide range of missions, and anticipated developments of AVs hold promise for increasingly significant roles in future naval operations. Advances in AV capabilities are enabled (and limited) by progress in the technologies of computing and robotics, navigation, communications and networking, power sources and propulsion, and materials. Autonomous Vehicles in Support of Naval Operations is a forward-looking discussion of the naval operational environment and vision for the Navy and Marine Corps and of naval mission needs and potential applications and limitations of AVs. This report considers the potential of AVs for naval operations, operational needs and technology issues, and opportunities for improved operations.

Download or read book Aviation Artificial Intelligence written by U S Military and published by Independently Published. This book was released on 2019-05-09 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the Army prepares itself to fight in the Multi-Domain Battle environment, it must assume that enemies will contest every domain and units will operate in more austere conditions, both physically and informationally. Increased sensor capabilities, proliferated and dispersed air defense systems, and contested electromagnetic spectrums challenge the air domain and severely restrict the freedom of action to which the United States has become accustomed. As the Army invests in research initiatives to mitigate the threats posed by peer competitors and develop technologies that return a marked advantage for the joint forces, Artificial Intelligence and increasing autonomy offer significant possibilities. Simultaneously, however, increasing sensor capabilities threaten remotely piloted and autonomous systems and their significant electromagnetic emissions. With aviation assets operating across multiple areas of operations within the theater, it is critical that they possess the appropriate technologies and effects to mitigate threat capabilities and increase their survivability.This compilation includes a reproduction of the 2019 Worldwide Threat Assessment of the U.S. Intelligence Community.1. Introduction * 2. Literature Review: Why Autonomy and Artificial Intelligence? * 3. Defining the Future Environment * 4. Methodology * 5. Current Unmanned Aerial Vehicles Vulnerabilities * 6. Autonomous Aircraft Untethered * 7. Inherent Risks of Piloted Aircraft * 8. Operational Benefits of Autonomous Aircraft * 9. Human and AI Teaming * 10. Framing the Future Scenario * 11. Multi-Domain Battle's Effect on Current UAVs * 12. Multi-Domain Battle's Effect on Autonomous Aircraft * 13. Multi-Domain Battle's Effect on Human/AI Teaming * 14. Recommendations and ConclusionTo be any more efficient than a normal vehicle, autonomous vehicles must possess a certain degree of Artificial Intelligence (AI). Having vehicles that perform their intended functions with little or no guidance from a human controller is highly desirable for any battlefield commander. A system that can execute a set of pre-determined tasks by itself frees a human from the need to control it, and potentially removes that human from significant risk. The potential benefits of Artificial Intelligence extend beyond autonomous operations, including rapid calculations and decision aiding, and management of large amounts of information. The inclusion of Artificial Intelligence and autonomy into the aviation field is arguably not new but has a profound impact, nonetheless. Aircraft avionics and flight control systems have long included various forms of autopilot or flight control coupling that allows the flight computer to manipulate the control surfaces and thereby control the aircraft. Likewise, onboard flight management systems assist pilots in making calculations to determine appropriate flight times, speeds, and distances. Emerging technologies, however, are introducing capabilities that require significantly smaller amounts of pilot or controller input. Department of Defense (DoD) initiatives in multiple services are testing autonomous aircraft for resupply and sustainment missions. The Lockheed-Martin corporation, working with the U.S. Marine Corps, conducted extended field-testing of a semi-autonomous Kaman K-MAX utility helicopter in Afghanistan, opening the door to many other potential applications for unmanned rotary-wing aircraft.

Download or read book Aviation Automation written by Charles E. Billings and published by CRC Press. This book was released on 2018-01-29 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advent of very compact, very powerful digital computers has made it possible to automate a great many processes that formerly required large, complex machinery. Digital computers have made possible revolutionary changes in industry, commerce, and transportation. This book, an expansion and revision of the author's earlier technical papers on this subject, describes the development of automation in aircraft and in the aviation system, its likely evolution in the future, and the effects that these technologies have had -- and will have -- on the human operators and managers of the system. It suggests concepts that may be able to enhance human-machine relationships in future systems. The author focuses on the ability of human operators to work cooperatively with the constellation of machines they command and control, because it is the interactions among these system elements that result in the system's success or failure, whether in aviation or elsewhere. Aviation automation has provided great social and technological benefits, but these benefits have not come without cost. In recent years, new problems in aircraft have emerged due to failures in the human-machine relationship. These incidents and accidents have motivated this inquiry into aviation automation. Similar problems in the air traffic management system are predicted as it becomes more fully automated. In particular, incidents and accidents have occurred which suggest that the principle problems with today's aviation automation are associated with its complexity, coupling, autonomy, and opacity. These problems are not unique to aviation; they exist in other highly dynamic domains as well. The author suggests that a different approach to automation -- called "human-centered automation" -- offers potential benefits for system performance by enabling a more cooperative human-machine relationship in the control and management of aircraft and air traffic.

Download or read book Aviation Artificial Intelligence written by U S Military and published by . This book was released on 2019-11 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the Army prepares itself to fight in the Multi-Domain Battle environment, it must assume that enemies will contest every domain and units will operate in more austere conditions, both physically and informationally. Increased sensor capabilities, proliferated and dispersed air defense systems, and contested electromagnetic spectrums challenge the air domain and severely restrict the freedom of action to which the United States has become accustomed. As the Army invests in research initiatives to mitigate the threats posed by peer competitors and develop technologies that return a marked advantage for the joint forces, Artificial Intelligence and increasing autonomy offer significant possibilities. Simultaneously, however, increasing sensor capabilities threaten remotely piloted and autonomous systems and their significant electromagnetic emissions. With aviation assets operating across multiple areas of operations within the theater, it is critical that they possess the appropriate technologies and effects to mitigate threat capabilities and increase their survivability.This compilation also includes a reproduction of the 2019 Worldwide Threat Assessment of the U.S. Intelligence Community.1. Introduction * Literature Review: Why Autonomy and Artificial Intelligence? * Defining the Future Environment * Methodology * 2. Current Unmanned Aerial Vehicles Vulnerabilities * Autonomous Aircraft Untethered * Inherent Risks of Piloted Aircraft * Operational Benefits of Autonomous Aircraft * Human and AI Teaming * 3. Framing the Future Scenario * Multi-Domain Battle's Effect on Current UAVs * Multi-Domain Battle's Effect on Autonomous Aircraft * Multi-Domain Battle's Effect on Human/AI Teaming * 4. Recommendations and ConclusionTo be any more efficient than a normal vehicle, autonomous vehicles must possess a certain degree of Artificial Intelligence (AI). Having vehicles that perform their intended functions with little or no guidance from a human controller is highly desirable for any battlefield commander. A system that can execute a set of pre-determined tasks by itself frees a human from the need to control it, and potentially removes that human from significant risk. The potential benefits of Artificial Intelligence extend beyond autonomous operations, including rapid calculations and decision aiding, and management of large amounts of information. The inclusion of Artificial Intelligence and autonomy into the aviation field is arguably not new but has a profound impact, nonetheless. Aircraft avionics and flight control systems have long included various forms of autopilot or flight control coupling that allows the flight computer to manipulate the control surfaces and thereby control the aircraft. Likewise, onboard flight management systems assist pilots in making calculations to determine appropriate flight times, speeds, and distances. Emerging technologies, however, are introducing capabilities that require significantly smaller amounts of pilot or controller input. Department of Defense (DoD) initiatives in multiple services are testing autonomous aircraft for resupply and sustainment missions. The Lockheed-Martin corporation, working with the U.S. Marine Corps, conducted extended field-testing of a semi-autonomous Kaman K-MAX utility helicopter in Afghanistan, opening the door to many other potential applications for unmanned rotary-wing aircraft.

Download or read book Autonomous Horizons written by Greg Zacharias and published by Independently Published. This book was released on 2019-04-05 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr. Greg Zacharias, former Chief Scientist of the United States Air Force (2015-18), explores next steps in autonomous systems (AS) development, fielding, and training. Rapid advances in AS development and artificial intelligence (AI) research will change how we think about machines, whether they are individual vehicle platforms or networked enterprises. The payoff will be considerable, affording the US military significant protection for aviators, greater effectiveness in employment, and unlimited opportunities for novel and disruptive concepts of operations. Autonomous Horizons: The Way Forward identifies issues and makes recommendations for the Air Force to take full advantage of this transformational technology.

Download or read book Autonomous Control of Unmanned Aerial Vehicles written by Victor Becerra and published by MDPI. This book was released on 2019-06-24 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unmanned aerial vehicles (UAVs) are being increasingly used in different applications in both military and civilian domains. These applications include surveillance, reconnaissance, remote sensing, target acquisition, border patrol, infrastructure monitoring, aerial imaging, industrial inspection, and emergency medical aid. Vehicles that can be considered autonomous must be able to make decisions and react to events without direct intervention by humans. Although some UAVs are able to perform increasingly complex autonomous manoeuvres, most UAVs are not fully autonomous; instead, they are mostly operated remotely by humans. To make UAVs fully autonomous, many technological and algorithmic developments are still required. For instance, UAVs will need to improve their sensing of obstacles and subsequent avoidance. This becomes particularly important as autonomous UAVs start to operate in civilian airspaces that are occupied by other aircraft. The aim of this volume is to bring together the work of leading researchers and practitioners in the field of unmanned aerial vehicles with a common interest in their autonomy. The contributions that are part of this volume present key challenges associated with the autonomous control of unmanned aerial vehicles, and propose solution methodologies to address such challenges, analyse the proposed methodologies, and evaluate their performance.

Download or read book Lethal Autonomous Weapons written by Jai Galliott and published by Oxford University Press, USA. This book was released on 2021-01-19 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Because of the increasing use of Unmanned Aerial Vehicles (UAVs, also commonly known as drones) in various military and para-military (i.e., CIA) settings, there has been increasing debate in the international community as to whether it is morally and ethically permissible to allow robots (flying or otherwise) the ability to decide when and where to take human life. In addition, there has been intense debate as to the legal aspects, particularly from a humanitarian law framework. In response to this growing international debate, the United States government released the Department of Defense (DoD) 3000.09 Directive (2011), which sets a policy for if and when autonomous weapons would be used in US military and para-military engagements. This US policy asserts that only "human-supervised autonomous weapon systems may be used to select and engage targets, with the exception of selecting humans as targets, for local defense ...". This statement implies that outside of defensive applications, autonomous weapons will not be allowed to independently select and then fire upon targets without explicit approval from a human supervising the autonomous weapon system. Such a control architecture is known as human supervisory control, where a human remotely supervises an automated system (Sheridan 1992). The defense caveat in this policy is needed because the United States currently uses highly automated systems for defensive purposes, e.g., Counter Rocket, Artillery, and Mortar (C-RAM) systems and Patriot anti-missile missiles. Due to the time-critical nature of such environments (e.g., soldiers sleeping in barracks within easy reach of insurgent shoulder-launched missiles), these automated defensive systems cannot rely upon a human supervisor for permission because of the short engagement times and the inherent human neuromuscular lag which means that even if a person is paying attention, there is approximately a half-second delay in hitting a firing button, which can mean the difference for life and death for the soldiers in the barracks. So as of now, no US UAV (or any robot) will be able to launch any kind of weapon in an offensive environment without human direction and approval. However, the 3000.09 Directive does contain a clause that allows for this possibility in the future. This caveat states that the development of a weapon system that independently decides to launch a weapon is possible but first must be approved by the Under Secretary of Defense for Policy (USD(P)); the Under Secretary of Defense for Acquisition, Technology, and Logistics (USD(AT&L)); and the Chairman of the Joint Chiefs of Staff. Not all stakeholders are happy with this policy that leaves the door open for what used to be considered science fiction. Many opponents of such uses of technologies call for either an outright ban on autonomous weaponized systems, or in some cases, autonomous systems in general (Human Rights Watch 2013, Future of Life Institute 2015, Chairperson of the Informal Meeting of Experts 2016). Such groups take the position that weapons systems should always be under "meaningful human control," but do not give a precise definition of what this means. One issue in this debate that often is overlooked is that autonomy is not a discrete state, rather it is a continuum, and various weapons with different levels of autonomy have been in the US inventory for some time. Because of these ambiguities, it is often hard to draw the line between automated and autonomous systems. Present-day UAVs use the very same guidance, navigation and control technology flown on commercial aircraft. Tomahawk missiles, which have been in the US inventory for more than 30 years, are highly automated weapons with accuracies of less than a meter. These offensive missiles can navigate by themselves with no GPS, thus exhibiting some autonomy by today's definitions. Global Hawk UAVs can find their way home and land on their own without any human intervention in the case of a communication failure. The growth of the civilian UAV market is also a critical consideration in the debate as to whether these technologies should be banned outright. There is a $144.38B industry emerging for the commercial use of drones in agricultural settings, cargo delivery, first response, commercial photography, and the entertainment industry (Adroit Market Research 2019) More than $100 billion has been spent on driverless car development (Eisenstein 2018) in the past 10 years and the autonomy used in driverless cars mirrors that inside autonomous weapons. So, it is an important distinction that UAVs are simply the platform for weapon delivery (autonomous or conventional), and that autonomous systems have many peaceful and commercial uses independent of military applications"--

Download or read book Autonomous Driving written by Markus Maurer and published by Springer. This book was released on 2016-05-21 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies? Experts from Germany and the United States define key societal, engineering, and mobility issues related to the automation of vehicles. They discuss the decisions programmers of automated vehicles must make to enable vehicles to perceive their environment, interact with other road users, and choose actions that may have ethical consequences. The authors further identify expectations and concerns that will form the basis for individual and societal acceptance of autonomous driving. While the safety benefits of such vehicles are tremendous, the authors demonstrate that these benefits will only be achieved if vehicles have an appropriate safety concept at the heart of their design. Realizing the potential of automated vehicles to reorganize traffic and transform mobility of people and goods requires similar care in the design of vehicles and networks. By covering all of these topics, the book aims to provide a current, comprehensive, and scientifically sound treatment of the emerging field of “autonomous driving".

Download or read book Advances in Human Factors in Robots and Unmanned Systems written by Jessie Chen and published by Springer. This book was released on 2017-06-30 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the importance of human factors in the development of safe and reliable unmanned systems. It discusses current challenges such as how to improve the perceptual and cognitive abilities of robots, develop suitable synthetic vision systems, cope with degraded reliability in unmanned systems, predict robotic behavior in case of a loss of communication, the vision for future soldier-robot teams, human-agent teaming, real-world implications for human-robot interaction, and approaches to standardize both the display and control of technologies across unmanned systems. Based on the AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, held on July 17–21 in Los Angeles, California, USA, this book is expected to foster new discussion and stimulate new advances in the development of more reliable, safer, and highly functional devices for carrying out automated and concurrent tasks.

Download or read book Autonomous Safety Control of Flight Vehicles written by Xiang Yu and published by CRC Press. This book was released on 2021-02-12 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aerospace vehicles are by their very nature a crucial environment for safety-critical systems. By virtue of an effective safety control system, the aerospace vehicle can maintain high performance despite the risk of component malfunction and multiple disturbances, thereby enhancing aircraft safety and the probability of success for a mission. Autonomous Safety Control of Flight Vehicles presents a systematic methodology for improving the safety of aerospace vehicles in the face of the following occurrences: a loss of control effectiveness of actuators and control surface impairments; the disturbance of observer-based control against multiple disturbances; actuator faults and model uncertainties in hypersonic gliding vehicles; and faults arising from actuator faults and sensor faults. Several fundamental issues related to safety are explicitly analyzed according to aerospace engineering system characteristics; while focusing on these safety issues, the safety control design problems of aircraft are studied and elaborated on in detail using systematic design methods. The research results illustrate the superiority of the safety control approaches put forward. The expected reader group for this book includes undergraduate and graduate students but also industry practitioners and researchers. About the Authors: Xiang Yu is a Professor with the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research interests include safety control of aerospace engineering systems, guidance, navigation, and control of unmanned aerial vehicles. Lei Guo, appointed as "Chang Jiang Scholar Chair Professor", is a Professor with the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research interests include anti-disturbance control and filtering, stochastic control, and fault detection with their applications to aerospace systems. Youmin Zhang is a Professor in the Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, Québec, Canada. His research interests include fault diagnosis and fault-tolerant control, and cooperative guidance, navigation, and control (GNC) of unmanned aerial/space/ground/surface vehicles. Jin Jiang is a Professor in the Department of Electrical & Computer Engineering, Western University, London, Ontario, Canada. His research interests include fault-tolerant control of safety-critical systems, advanced control of power plants containing non-traditional energy resources, and instrumentation and control for nuclear power plants.

Download or read book Human centered Aircraft Automation A Concept and Guidelines written by Charles E. Billings and published by . This book was released on 1991 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Managing Machine Learning Projects written by Simon Thompson and published by Simon and Schuster. This book was released on 2023-07-11 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Guide machine learning projects from design to production with the techniques in this unique project management guide. No ML skills required! In Managing Machine Learning Projects you’ll learn essential machine learning project management techniques, including: Understanding an ML project’s requirements Setting up the infrastructure for the project and resourcing a team Working with clients and other stakeholders Dealing with data resources and bringing them into the project for use Handling the lifecycle of models in the project Managing the application of ML algorithms Evaluating the performance of algorithms and models Making decisions about which models to adopt for delivery Taking models through development and testing Integrating models with production systems to create effective applications Steps and behaviors for managing the ethical implications of ML technology Managing Machine Learning Projects is an end-to-end guide for delivering machine learning applications on time and under budget. It lays out tools, approaches, and processes designed to handle the unique challenges of machine learning project management. You’ll follow an in-depth case study through a series of sprints and see how to put each technique into practice. The book’s strong consideration to data privacy, and community impact ensure your projects are ethical, compliant with global legislation, and avoid being exposed to failure from bias and other issues. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Ferrying machine learning projects to production often feels like navigating uncharted waters. From accounting for large data resources to tracking and evaluating multiple models, machine learning technology has radically different requirements than traditional software. Never fear! This book lays out the unique practices you’ll need to ensure your projects succeed. About the Book Managing Machine Learning Projects is an amazing source of battle-tested techniques for effective delivery of real-life machine learning solutions. The book is laid out across a series of sprints that take you from a project proposal all the way to deployment into production. You’ll learn how to plan essential infrastructure, coordinate experimentation, protect sensitive data, and reliably measure model performance. Many ML projects fail to create real value—read this book to make sure your project is a success. What's Inside Set up infrastructure and resource a team Bring data resources into a project Accurately estimate time and effort Evaluate which models to adopt for delivery Integrate models into effective applications About the Reader For anyone interested in better management of machine learning projects. No technical skills required. About the Author Simon Thompson has spent 25 years developing AI systems to create applications for use in telecoms, customer service, manufacturing and capital markets. He led the AI research program at BT Labs in the UK, and is now the Head of Data Science at GFT Technologies. Table of Contents 1 Introduction: Delivering machine learning projects is hard; let’s do it better 2 Pre-project: From opportunity to requirements 3 Pre-project: From requirements to proposal 4 Getting started 5 Diving into the problem 6 EDA, ethics, and baseline evaluations 7 Making useful models with ML 8 Testing and selection 9 Sprint 3: system building and production 10 Post project (sprint O)

Download or read book Foundations of Trusted Autonomy written by Hussein A. Abbass and published by Springer. This book was released on 2018-01-15 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book establishes the foundations needed to realize the ultimate goals for artificial intelligence, such as autonomy and trustworthiness. Aimed at scientists, researchers, technologists, practitioners, and students, it brings together contributions offering the basics, the challenges and the state-of-the-art on trusted autonomous systems in a single volume. The book is structured in three parts, with chapters written by eminent researchers and outstanding practitioners and users in the field. The first part covers foundational artificial intelligence technologies, while the second part covers philosophical, practical and technological perspectives on trust. Lastly, the third part presents advanced topics necessary to create future trusted autonomous systems. The book augments theory with real-world applications including cyber security, defence and space.

Download or read book Human Automation Interaction Considerations for Unmanned Aerial System Integration into the National Airspace System written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2018-06-11 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prior to 2012, unmanned aircraft systems (UAS) technology had been primarily used by the military and hobbyists, but it has more recently transitioned to broader application, including commercial and scientific applications, as well as to expanded military use. These new uses encroach on existing structures for managing the nation's airspace and present significant challenges to ensure that UASs are coordinated safely and suitably with existing manned aircraft and air traffic management systems, particularly with the National Airspace System (NAS). Of particular concern is the interaction between human pilots, operators, or controllers and increasingly automated systems. Enhanced understanding of these interactions is essential to avoid unintended consequences, especially as new technologies emerge. In order to explore these issues, the National Academies of Sciences, Engineering, and Medicine organized a 2-day workshop in January 2018. This publication summarizes the presentations and discussions from the workshop.