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| best language for artificial intelligence by nasa: Artificial Intelligence with Python Prateek Joshi, 2017-01-27 Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application. |
| best language for artificial intelligence by nasa: Funding a Revolution National Research Council, Computer Science and Telecommunications Board, Committee on Innovations in Computing and Communications: Lessons from History, 1999-02-11 The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it. |
| best language for artificial intelligence by nasa: NASA SP-7500 United States. National Aeronautics and Space Administration, 1986 |
| best language for artificial intelligence by nasa: NASA Tech Briefs , 1997 |
| best language for artificial intelligence by nasa: The Quest for Artificial Intelligence Nils J. Nilsson, 2009-10-30 Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers. AI is becoming more and more a part of everyone's life. The technology is already embedded in face-recognizing cameras, speech-recognition software, Internet search engines, and health-care robots, among other applications. The book's many diagrams and easy-to-understand descriptions of AI programs will help the casual reader gain an understanding of how these and other AI systems actually work. Its thorough (but unobtrusive) end-of-chapter notes containing citations to important source materials will be of great use to AI scholars and researchers. This book promises to be the definitive history of a field that has captivated the imaginations of scientists, philosophers, and writers for centuries. |
| best language for artificial intelligence by nasa: The Infinite Universe Tim Andersen, 2020-05-04 This book is for anyone who wants a fresh approach to modern physics. Are you tired of amusing anecdotes about scientists' personal lives and eureka moments? Bored of chronological narratives of scientific progress through the ages? No longer wowed by ideas like string theory? Interested in first principles thinking and what it can do for you? This book is for you. This book is designed to take you step by step through the fundamental principles that underlie the physics of space, time, and matter. It is a how-to guide for building up our universe from first principles. By posing questions and answering them with illustrations and examples, the book shows how we can demonstrate what we know about the universe with simple concepts and thought experiments. With this book, you too can apply first principles to build up your own model of the universe and how it works, one you can take with you, and apply it to other areas of your life such as your job, business, even your relationships. There are no complicated mathematics in this book and I have minimized the amount of jargon. Thus, it is suitable anyone of any educational background from high school on. The book aims to be straightforward about how we get from simple ideas to complex physical theories. So, if you are interested in a new way of looking at the universe and are not afraid to unlearn some of what you have learned, take a look inside. |
| best language for artificial intelligence by nasa: Mastering ROS for Robotics Programming Lentin Joseph, 2015-12-21 Design, build and simulate complex robots using Robot Operating System and master its out-of-the-box functionalities About This Book Develop complex robotic applications using ROS for interfacing robot manipulators and mobile robots with the help of high end robotic sensors Gain insights into autonomous navigation in mobile robot and motion planning in robot manipulators Discover the best practices and troubleshooting solutions everyone needs when working on ROS Who This Book Is For If you are a robotics enthusiast or researcher who wants to learn more about building robot applications using ROS, this book is for you. In order to learn from this book, you should have a basic knowledge of ROS, GNU/Linux, and C++ programming concepts. The book will also be good for programmers who want to explore the advanced features of ROS. What You Will Learn Create a robot model of a Seven-DOF robotic arm and a differential wheeled mobile robot Work with motion planning of a Seven-DOF arm using MoveIt! Implement autonomous navigation in differential drive robots using SLAM and AMCL packages in ROS Dig deep into the ROS Pluginlib, ROS nodelets, and Gazebo plugins Interface I/O boards such as Arduino, Robot sensors, and High end actuators with ROS Simulation and motion planning of ABB and Universal arm using ROS Industrial Explore the ROS framework using its latest version In Detail The area of robotics is gaining huge momentum among corporate people, researchers, hobbyists, and students. The major challenge in robotics is its controlling software. The Robot Operating System (ROS) is a modular software platform to develop generic robotic applications. This book discusses the advanced concepts in robotics and how to program using ROS. It starts with deep overview of the ROS framework, which will give you a clear idea of how ROS really works. During the course of the book, you will learn how to build models of complex robots, and simulate and interface the robot using the ROS MoveIt motion planning library and ROS navigation stacks. After discussing robot manipulation and navigation in robots, you will get to grips with the interfacing I/O boards, sensors, and actuators of ROS. One of the essential ingredients of robots are vision sensors, and an entire chapter is dedicated to the vision sensor, its interfacing in ROS, and its programming. You will discuss the hardware interfacing and simulation of complex robot to ROS and ROS Industrial (Package used for interfacing industrial robots). Finally, you will get to know the best practices to follow when programming using ROS. Style and approach This is a simplified guide to help you learn and master advanced topics in ROS using hands-on examples. |
| best language for artificial intelligence by nasa: Scientific and Technical Aerospace Reports , 1990 |
| best language for artificial intelligence by nasa: The Ashṭādhyāyī of Pāṇini Pāṇini, 1980 Panini's Ashtadhyayi represents the first attempt in the history of the world to describe and analyse the components of a language on scientific lines. It has not only been universally acclaimed as the first and foremost specimen of Descriptive Grammar but has also been the chief source of inspiration for the linguist engaged in describing languages of different regions. To understand Sanskrit language, and especially that part of it which embodies the highest aspirations of ancient Aryan people, viz., the Brahmanas, Samhitas, Upanisads, it is absolutely necessary to have a complete knowledge of the grammar elaborated by Panini. Being a masterpiece of reasoning and artistic arrangement its study is bound to cultivate intellectual powers. Western scholars have described it as a wonderful specimen or a notable manifestation of Indian intelligence. This book is an English translation of Ashtadhyayi in two volumes and has won a unique position in the world of scholarship. |
| best language for artificial intelligence by nasa: Sanskrit Computational Linguistics Gérard Huet, Amba Kulkarni, Peter Scharf, 2009-02-18 This volume constitutes the thoroughly refereed post-conference proceedings of the First and Second International Symposia on Sanskrit Computational Linguistics, held in Rocquencourt, France, in October 2007 and in Providence, RI, USA, in May 2008 respectively. The 11 revised full papers of the first and the 12 revised papers of the second symposium presented with an introduction and a keynote talk were carefully reviewed and selected from the lectures given at both events. The papers address several topics such as the structure of the Paninian grammatical system, computational linguistics, lexicography, lexical databases, formal description of sanskrit grammar, phonology and morphology, machine translation, philology, and OCR. |
| best language for artificial intelligence by nasa: Implementing Embedded Artificial Intelligence Rules Within Algorithmic Programming Languages Stefan Feyock, 1988 |
| best language for artificial intelligence by nasa: Management, a Bibliography for NASA Managers , 1989 |
| best language for artificial intelligence by nasa: Artificial Intelligence Today Veerendra Kumar Jain, 2022-12-03 This book is meant for graduate-level/ MCA/ B. Tech students and also as per the syllabus of All India Council of Technical Education (AICTE) under emerging technology, which covers more than 10000 colleges with pan India presence. Book from an author who has written more than 100 books (first in India) on computer science and information technology, including all levels of DOEACC, C DAC. His book Big Data and Hadoop was released by a past president of the Institution of Electronics and Telecommunication Engineers. Books are already been written on Big data analytics, Data Science, and Machine learning, are already approved by AICTE. |
| best language for artificial intelligence by nasa: An Introduction to Quantum Computing Phillip Kaye, Raymond Laflamme, Michele Mosca, 2007 The authors provide an introduction to quantum computing. Aimed at advanced undergraduate and beginning graduate students in these disciplines, this text is illustrated with diagrams and exercises. |
| best language for artificial intelligence by nasa: Sanskritism Sanjeev Majalikar, Sanskrit is an intriguing language that has seen ups and downs over many centuries. Its unique nature is rooted in the etymological and logical bases. Over the last few years, I am following the efforts and the struggle for the revival of this beautiful language. This book is a compilation of select articles from my blog site: bhashabodha.blogspot.com |
| best language for artificial intelligence by nasa: NASA Formal Methods Jyotirmoy V. Deshmukh, Klaus Havelund, Ivan Perez, 2022-05-19 This book constitutes the proceedings of the 14th International Symposium on NASA Formal Methods, NFM 2022, held in Pasadena, USA, during May 24-27, 2022. The 33 full and 6 short papers presented in this volume were carefully reviewed and selected from 118submissions. The volume also contains 6 invited papers. The papers deal with advances in formal methods, formal methods techniques, and formal methods in practice. The focus on topics such as interactive and automated theorem proving; SMT and SAT solving; model checking; use of machine learning and probabilistic reasoning in formal methods; formal methods and graphical modeling languages such as SysML or UML; usability of formal method tools and application in industry, etc. |
| best language for artificial intelligence by nasa: Goddard Conference on Space Applications of Artificial Intelligence , 1989 |
| best language for artificial intelligence by nasa: AI and Machine Learning for Coders Laurence Moroney, 2020-10-01 If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving |
| best language for artificial intelligence by nasa: Scientific and Technical Aerospace Reports , 1988 |
| best language for artificial intelligence by nasa: Turkish Natural Language Processing Kemal Oflazer, Murat Saraçlar, 2018-07-20 This book brings together work on Turkish natural language and speech processing over the last 25 years, covering numerous fundamental tasks ranging from morphological processing and language modeling, to full-fledged deep parsing and machine translation, as well as computational resources developed along the way to enable most of this work. Owing to its complex morphology and free constituent order, Turkish has proved to be a fascinating language for natural language and speech processing research and applications. After an overview of the aspects of Turkish that make it challenging for natural language and speech processing tasks, this book discusses in detail the main tasks and applications of Turkish natural language and speech processing. A compendium of the work on Turkish natural language and speech processing, it is a valuable reference for new researchers considering computational work on Turkish, as well as a one-stop resource for commercial and research institutions planning to develop applications for Turkish. It also serves as a blueprint for similar work on other Turkic languages such as Azeri, Turkmen and Uzbek. |
| best language for artificial intelligence by nasa: Programming Robots with ROS Morgan Quigley, Brian Gerkey, William D. Smart, 2015-11-16 Chapter 3. Topics; Publishing to a Topic; Checking That Everything Works as Expected; Subscribing to a Topic; Checking That Everything Works as Expected; Latched Topics; Defining Your Own Message Types; Defining a New Message; Using Your New Message; When Should You Make a New Message Type?; Mixing Publishers and Subscribers; Summary; Chapter 4. Services; Defining a Service; Implementing a Service; Checking That Everything Works as Expected; Other Ways of Returning Values from a Service; Using a Service; Checking That Everything Works as Expected; Other Ways to Call Services; Summary. |
| best language for artificial intelligence by nasa: Don't Believe a Word: The Surprising Truth About Language David Shariatmadari, 2020-01-07 A linguist’s entertaining and highly informed guide to what languages are and how they function. Think you know language? Think again. There are languages that change when your mother-in-law is present. The language you speak could make you more prone to accidents. Swear words are produced in a special part of your brain. Over the past few decades, we have reached new frontiers of linguistic knowledge. Linguists can now explain how and why language changes, describe its structures, and map its activity in the brain. But despite these advances, much of what people believe about language is based on folklore, instinct, or hearsay. We imagine a word’s origin is it’s “true” meaning, that foreign languages are full of “untranslatable” words, or that grammatical mistakes undermine English. In Don’t Believe A Word, linguist David Shariatmadari takes us on a mind-boggling journey through the science of language, urging us to abandon our prejudices in a bid to uncover the (far more interesting) truth about what we do with words. Exploding nine widely held myths about language while introducing us to some of the fundamental insights of modern linguistics, Shariatmadari is an energetic guide to the beauty and quirkiness of humanity’s greatest achievement. |
| best language for artificial intelligence by nasa: Space Station Systems , 1986 |
| best language for artificial intelligence by nasa: MULTIDISCIPLINARY SUBJECTS FOR RESEARCH-IX, VOLUME-2 Dr. Dilipkumar A. Ode, Jigeshkumar D. Chauhan, Dr. Tilottama B Galande, Dr. Birajlakshmi Ghosh, Dr. Vinod Kumar Cherukuri, Kaptain Kishor Bajpayee, |
| best language for artificial intelligence by nasa: Paradigms of Artificial Intelligence Programming Peter Norvig, 2014-06-28 Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer. |
| best language for artificial intelligence by nasa: TypeScript Quickly Anton Moiseev, Yakov Fain, 2020-02-10 Summary TypeScript is JavaScript with an important upgrade! By adding a strong type system to JavaScript, TypeScript can help you eliminate entire categories of runtime errors. In TypeScript Quickly, you’ll learn to build rock-solid apps through practical examples and hands-on projects under the expert instruction of experienced web developers Yakov Fain and Anton Moiseev. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Strong typing can eliminate nearly all errors caused by unanticipated data values. With TypeScript, an enhanced version of JavaScript, you can specify types and type annotations so your code is easier to read and far less likely to fail at runtime. And because the core of TypeScript is standard JavaScript, it runs on all major browsers and can be used with frameworks like Angular, Vue, and React. About the book TypeScript Quickly teaches you to exploit the benefits of types in browser-based and standalone applications. In this practical guide, you’ll build a fascinating blockchain service app that takes you through a range of type-sensitive programming techniques. As you go, you’ll also pick up valuable techniques for object-oriented programming with classes, interfaces, and advanced features such as decorators and conditional types. What's inside Mastering TypeScript syntax Using TypeScript with JavaScript libraries Tooling with Babel and Webpack Developing TypeScript apps using Angular, React, and Vue About the reader For web developers comfortable with JavaScript and HTML. About the author Yakov Fain and Anton Moiseev are experienced web developers. They have authored two editions of Manning’s Angular Development with TypeScript. Table of Contents: PART 1 MASTERING THE TYPESCRIPT SYNTAX 1 ¦ Getting familiar with TypeScript 2 ¦ Basic and custom types 3 ¦ Object-oriented programming with classes and interfaces 4 ¦ Using enums and generics 5 ¦ Decorators and advanced types 6 ¦ Tooling 7 ¦ Using TypeScript and JavaScript in the same project PART 2 APPLYING TYPESCRIPT IN A BLOCKCHAIN APP 8 ¦ Developing your own blockchain app 9 ¦ Developing a browser-based blockchain node 10 ¦ Client-server communications using Node.js, TypeScript, and WebSockets 11 ¦ Developing Angular apps with TypeScript 12 ¦ Developing the blockchain client in Angular 13 ¦ Developing React.js apps with TypeScript 14 ¦ Developing a blockchain client in React.js 15 ¦ Developing Vue.js apps with TypeScript 16 ¦ Developing the blockchain client in Vue.js |
| best language for artificial intelligence by nasa: Artificial Intelligence in the 21st Century Stephen Lucci, Danny Kopec, 2015-12-10 This new edition provides a comprehensive, colorful, up-to-date, and accessible presentation of AI without sacrificing theoretical foundations. It includes numerous examples, applications, full color images, and human interest boxes to enhance student interest. New chapters on robotics and machine learning are now included. Advanced topics cover neural nets, genetic algorithms, natural language processing, planning, and complex board games. A companion DVD is provided with resources, applications, and figures from the book. Numerous instructors’ resources are available upon adoption. eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at info@merclearning.com. FEATURES: • Includes new chapters on robotics and machine learning and new sections on speech understanding and metaphor in NLP • Provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations • Uses numerous examples, applications, full color images, and human interest boxes to enhance student interest • Introduces important AI concepts e.g., robotics, use in video games, neural nets, machine learning, and more thorough practical applications • Features over 300 figures and color images with worked problems detailing AI methods and solutions to selected exercises • Includes DVD with resources, simulations, and figures from the book • Provides numerous instructors’ resources, including: solutions to exercises, Microsoft PP slides, etc. |
| best language for artificial intelligence by nasa: Management , 1986 |
| best language for artificial intelligence by nasa: Information Technology Innovation National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Panel on Artificial Intelligence, Committee on Depicting Innovation in Information Technology, 2020-11-30 Information technology (IT) is widely understood to be the enabling technology of the 21st century. IT has transformed, and continues to transform, all aspects of our lives: commerce and finance, education, energy, health care, manufacturing, government, national security, transportation, communications, entertainment, science, and engineering. IT and its impact on the U.S. economyâ€both directly (the IT sector itself) and indirectly (other sectors that are powered by advances in IT)â€continue to grow in size and importance. IT’s impacts on the U.S. economyâ€both directly (the IT sector itself) and indirectly (other sectors that are powered by advances in IT)â€continue to grow. IT enabled innovation and advances in IT products and services draw on a deep tradition of research and rely on sustained investment and a uniquely strong partnership in the United States among government, industry, and universities. Past returns on federal investments in IT research have been extraordinary for both U.S. society and the U.S. economy. This IT innovation ecosystem fuels a virtuous cycle of innovation with growing economic impact. Building on previous National Academies work, this report describes key features of the IT research ecosystem that fuel IT innovation and foster widespread and longstanding impact across the U.S. economy. In addition to presenting established computing research areas and industry sectors, it also considers emerging candidates in both categories. |
| best language for artificial intelligence by nasa: You Are Brahman, Not A Billiard Ball Ramanathan S Manavasi, 2024-03-07 The country India, that is Bharath, is changing its outlook. From the Secular viewpoint to Sacred and Sacrosanct. This Priyamvada, the Hindu perception of excellence also embraces other religions. The refreshing ambience prompted the author to delineate Brahman with a warm hearted approach. The ego limits itself to the body through error. It sees itself as a wave that has missed its synonymity with the ocean. Creator turned creature, the God who is the experiencer. Yet God and no less. Wherever “I-am” pulsates, that is the proof of God, the presence of God. Aham Bramasmi - I am Brahman. The author has explored all possibilities of detailing the concept of Brahman. He has illuminated the landscape of this book with the lovely expressions of luminaries like Ramana Maharishi, Swami Dayananda Saraswati, Spinoza, Schrodinger, and Wittgenstein. He has showcased the brilliant books of some eminent authors which offer many remarkable insights. If you first get established in the truth, after that when you look at the world, when you look at time, when you look at manifestation you will not get carried by it. In this context, each page of this book is a treasure trove of information, and every image is worth a thousand words. You can be captivated by the vast range of interpretations. Pick a book today, explore and enjoy the reading. |
| best language for artificial intelligence by nasa: The Craft of Prolog Richard O'Keefe, 2009-12-07 The emphasis in The Craft of Prolog is on using Prolog effectively. It presents a loose collection of topics that build on and elaborate concepts learned in a first course. Hacking your program is no substitute for understanding your problem. Prolog is different, but not that different. Elegance is not optional. These are the themes that unify Richard O'Keefe's very personal statement on how Prolog programs should be written. The emphasis in The Craft of Prolog is on using Prolog effectively. It presents a loose collection of topics that build on and elaborate concepts learned in a first course. These may be read in any order following the first chapter, Basic Topics in Prolog, which provides a basis for the rest of the material in the book. Richard A. O'Keefe is Lecturer in the Department of Computer Science at the Royal Melbourne Institute of Technology. He is also a consultant to Quintus Computer Systems, Inc.Contents: Basic Topics in Prolog. Searching. Where Does the Space Go? Methods of Programming. Data Structure Design. Sequences. Writing Interpreters. Some Notes on Grammar Rules. Prolog Macros. Writing Tokenisers in Prolog. All Solutions. |
| best language for artificial intelligence by nasa: Artificial Intelligence for Robotics Francis X. Govers, 2018-08-30 Bring a new degree of interconnectivity to your world by building your own intelligent robots Key Features Leverage fundamentals of AI and robotics Work through use cases to implement various machine learning algorithms Explore Natural Language Processing (NLP) concepts for efficient decision making in robots Book DescriptionArtificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills. As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks. By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence.What you will learn Get started with robotics and artificial intelligence Apply simulation techniques to give your robot an artificial personality Understand object recognition using neural networks and supervised learning techniques Pick up objects using genetic algorithms for manipulation Teach your robot to listen using NLP via an expert system Use machine learning and computer vision to teach your robot how to avoid obstacles Understand path planning, decision trees, and search algorithms in order to enhance your robot Who this book is for If you have basic knowledge about robotics and want to build or enhance your existing robot’s intelligence, then Artificial Intelligence for Robotics is for you. This book is also for enthusiasts who want to gain knowledge of AI and robotics. |
| best language for artificial intelligence by nasa: Knowledge Based Concepts and Artificial Intelligence , 1987 |
| best language for artificial intelligence by nasa: Aerospace Environment John C. Evvard, 1968 |
| best language for artificial intelligence by nasa: Infinite Powers Steven Strogatz, 2019 This is the captivating story of mathematics' greatest ever idea: calculus. Without it, there would be no computers, no microwave ovens, no GPS, and no space travel. But before it gave modern man almost infinite powers, calculus was behind centuries of controversy, competition, and even death. Taking us on a thrilling journey through three millennia, professor Steven Strogatz charts the development of this seminal achievement from the days of Aristotle to today's million-dollar reward that awaits whoever cracks Reimann's hypothesis. Filled with idiosyncratic characters from Pythagoras to Euler, Infinite Powers is a compelling human drama that reveals the legacy of calculus on nearly every aspect of modern civilization, including science, politics, ethics, philosophy, and much besides. |
| best language for artificial intelligence by nasa: Machine Learning with TensorFlow, Second Edition Mattmann A. Chris, 2021-02-02 Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Summary Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Written by NASA JPL Deputy CTO and Principal Data Scientist Chris Mattmann, all examples are accompanied by downloadable Jupyter Notebooks for a hands-on experience coding TensorFlow with Python. New and revised content expands coverage of core machine learning algorithms, and advancements in neural networks such as VGG-Face facial identification classifiers and deep speech classifiers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Supercharge your data analysis with machine learning! ML algorithms automatically improve as they process data, so results get better over time. You don’t have to be a mathematician to use ML: Tools like Google’s TensorFlow library help with complex calculations so you can focus on getting the answers you need. About the book Machine Learning with TensorFlow, Second Edition is a fully revised guide to building machine learning models using Python and TensorFlow. You’ll apply core ML concepts to real-world challenges, such as sentiment analysis, text classification, and image recognition. Hands-on examples illustrate neural network techniques for deep speech processing, facial identification, and auto-encoding with CIFAR-10. What's inside Machine Learning with TensorFlow Choosing the best ML approaches Visualizing algorithms with TensorBoard Sharing results with collaborators Running models in Docker About the reader Requires intermediate Python skills and knowledge of general algebraic concepts like vectors and matrices. Examples use the super-stable 1.15.x branch of TensorFlow and TensorFlow 2.x. About the author Chris Mattmann is the Division Manager of the Artificial Intelligence, Analytics, and Innovation Organization at NASA Jet Propulsion Lab. The first edition of this book was written by Nishant Shukla with Kenneth Fricklas. Table of Contents PART 1 - YOUR MACHINE-LEARNING RIG 1 A machine-learning odyssey 2 TensorFlow essentials PART 2 - CORE LEARNING ALGORITHMS 3 Linear regression and beyond 4 Using regression for call-center volume prediction 5 A gentle introduction to classification 6 Sentiment classification: Large movie-review dataset 7 Automatically clustering data 8 Inferring user activity from Android accelerometer data 9 Hidden Markov models 10 Part-of-speech tagging and word-sense disambiguation PART 3 - THE NEURAL NETWORK PARADIGM 11 A peek into autoencoders 12 Applying autoencoders: The CIFAR-10 image dataset 13 Reinforcement learning 14 Convolutional neural networks 15 Building a real-world CNN: VGG-Face ad VGG-Face Lite 16 Recurrent neural networks 17 LSTMs and automatic speech recognition 18 Sequence-to-sequence models for chatbots 19 Utility landscape |
| best language for artificial intelligence by nasa: Machine Ethics Michael Anderson, Susan Leigh Anderson, 2011-05-09 The new field of machine ethics is concerned with giving machines ethical principles, or a procedure for discovering a way to resolve the ethical dilemmas they might encounter, enabling them to function in an ethically responsible manner through their own ethical decision making. Developing ethics for machines, in contrast to developing ethics for human beings who use machines, is by its nature an interdisciplinary endeavor. The essays in this volume represent the first steps by philosophers and artificial intelligence researchers toward explaining why it is necessary to add an ethical dimension to machines that function autonomously, what is required in order to add this dimension, philosophical and practical challenges to the machine ethics project, various approaches that could be considered in attempting to add an ethical dimension to machines, work that has been done to date in implementing these approaches, and visions of the future of machine ethics research. |
| best language for artificial intelligence by nasa: Autonomous and Autonomic Systems: With Applications to NASA Intelligent Spacecraft Operations and Exploration Systems Walt Truszkowski, Harold Hallock, Christopher Rouff, Jay Karlin, James Rash, Michael Hinchey, Roy Sterritt, 2009-11-12 In the early 1990s, NASA Goddard Space Flight Center started researching and developing autonomous and autonomic ground and spacecraft control systems for future NASA missions. This research started by experimenting with and developing expert systems to automate ground station software and reduce the number of people needed to control a spacecraft. This was followed by research into agent-based technology to develop autonomous ground c- trol and spacecraft. Research into this area has now evolved into using the concepts of autonomic systems to make future space missions self-managing and giving them a high degree of survivability in the harsh environments in which they operate. This book describes much of the results of this research. In addition, it aimstodiscusstheneededsoftwaretomakefutureNASAspacemissionsmore completelyautonomousandautonomic.Thecoreofthesoftwareforthesenew missions has been written for other applications or is being applied gradually in current missions, or is in current development. It is intended that this book should document how NASA missions are becoming more autonomous and autonomic and should point to the way of making future missions highly - tonomous and autonomic. What is not covered is the supporting hardware of these missions or the intricate software that implements orbit and at- tude determination, on-board resource allocation, or planning and scheduling (though we refer to these technologies and give references for the interested reader). |
| best language for artificial intelligence by nasa: Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies Mago, Vijay Kumar, 2011-12-31 The need for intelligent machines in areas such as medical diagnostics, biometric security systems, and image processing motivates researchers to develop and explore new techniques, algorithms, and applications in this evolving field.Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies provides a common platform for researchers to present theoretical and applied research findings for enhancing and developing intelligent systems. Through its discussions of advances in and applications of pattern recognition technologies and artificial intelligence, this reference highlights core concepts in biometric imagery, feature recognition, and other related fields, along with their applicability. |
| best language for artificial intelligence by nasa: Artificial Intelligence in Practice Bernard Marr, 2019-04-15 Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce. |
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