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Book Mastering Grant Writing with Artificial Intelligence

Download or read book Mastering Grant Writing with Artificial Intelligence written by J. T. Chapel and published by . This book was released on 2023-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the author of "Grant Writing as Storytelling" comes "Mastering Grant Writing with Artificial Intelligence". This is a groundbreaking 165-page guide that revolutionizes the grant writing process. This comprehensive book provides practical strategies for leveraging A.I. technology to create persuasive, well-organized grant proposals that stand out from the competition.In the opening chapters, you'll explore the foundations of A.I., from abstract generation to the basics of crafting narrative using artificial intelligence. Learn to get a head start in identifying grant opportunities through efficient research methods.The core of the book focuses on essential grant proposal elements. Master the art of crafting a compelling problem statement, setting clear goals and objectives, and refining your project's methodology and design. Gain valuable insights into creating accurate budgets, designing effective evaluations, and ensuring sustainability for your projects."Mastering Grant Writing with Artificial Intelligence" demonstrates how to use A.I. to enhance every stage of the grant writing process. Discover powerful techniques for crafting captivating narratives that resonate with reviewers and improve your chances of securing funding.As you progress, learn how to employ A.I. for editing and proofreading your proposals, ensuring that your narratives are polished and error-free. Delve into the intricacies of writing effective A.I. prompts, eliciting valuable responses that contribute to successful grant proposals.The book also covers the critical aspect of scoring rubrics, providing practical advice on using these tools to assess your narrative and align it with the evaluation criteria set by funding agencies. Learn to use AI to score your narrative with the RFA scoring rubric, you'll significantly improve your chances of winning grants.The final chapter, "Lessons Learned," reflects on real-world experiences and offers valuable insights to help you avoid common pitfalls and ensure the success of your grant proposals."Mastering Grant Writing with Artificial Intelligence" is an essential resource for researchers, non-profit organizations, and educational institutions seeking to streamline and enhance the grant writing process. By leveraging cutting-edge A.I. technology, you'll gain a competitive edge and secure the funding needed to bring your projects to fruition.

Book Mastering AI

    Book Details:
  • Author : Jeremy Kahn
  • Publisher : Simon and Schuster
  • Release : 2024-07-09
  • ISBN : 1668053349
  • Pages : 336 pages

Download or read book Mastering AI written by Jeremy Kahn and published by Simon and Schuster. This book was released on 2024-07-09 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Fortune magazine journalist draws on his expertise and extensive contacts among the companies and scientists at the forefront of artificial intelligence to offer dramatic predictions of AI’s impact over the next decade, from reshaping our economy and the way we work, learn, and create to unknitting our social fabric, jeopardizing our democracy, and fundamentally altering the way we think. Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will revamp education, meaning children around the world can have personal, portable tutors. It will revolutionize health care, making individualized, targeted pharmaceuticals more affordable. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow. AI will provoke pervasive, disruptive, potentially devastating knock-on effects. Leveraging his unrivaled access to the leaders, scientists, futurists, and others who are making AI a reality, Kahn will argue that if not carefully designed and vigilantly regulated AI will deepen income inequality, depressing wages while imposing winner-take-all markets across much of the economy. AI risks undermining democracy, as truth is overtaken by misinformation, racial bias, and harmful stereotypes. Continuing a process begun by the internet, AI will rewire our brains, likely inhibiting our ability to think critically, to remember, and even to get along with one another—unless we all take decisive action to prevent this from happening. Much as Michael Lewis’s classic The New New Thing offered a prescient, insightful, and eminently readable account of life inside the dot-com bubble, Mastering AI delivers much-needed guidance for anyone eager to understand the AI boom—and what comes next.

Book Business Writing with AI For Dummies

Download or read book Business Writing with AI For Dummies written by Sheryl Lindsell-Roberts and published by John Wiley & Sons. This book was released on 2024-05-29 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to generate high quality, business documents with AI This essential guide helps business writers and other professionals learn the strengths and weaknesses of AI as a writing assistant. You'll discover how AI can help you by chopping through writer's block, drafting an outline, generating headlines and titles, producing meaningful text, maintaining consistency, proofreading and editing, and optimizing content for search engines. Employees in all industries spend enormous amounts of energy writing, editing, and proofreading documents of all kinds. Now, you can improve your efficiency and boost the quality of your work, thanks to AI writing tools like ChatGPT, Jaspar, Grammarly, and beyond. With clear instructions and simple tips, Business Writing with AI For Dummies guides you through the process of using AI for common business writing tasks. Produce high quality, specialized writing quicker and at a lower cost Use AI to draft business-related content like emails, articles, business plans, grant proposals, bios, websites, and many others Incorporate AI into your writing process to make your workday more efficient Take advantage of AI so you can focus your human creativity on going beyond the basics For business professionals facing tight deadlines or large volumes of writing tasks, this easy-to-use Dummies guide will be a game changer.

Book Artificial Intelligence in Medicine

Download or read book Artificial Intelligence in Medicine written by David Riaño and published by Springer. This book was released on 2019-06-19 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.

Book Advances in Cognitive Research  Artificial Intelligence and Neuroinformatics

Download or read book Advances in Cognitive Research Artificial Intelligence and Neuroinformatics written by Boris M. Velichkovsky and published by Springer Nature. This book was released on 2021-04-17 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on theoretical and experimental research answering key questions in neuroscience, philosophy of mind, and cognitive research. It gives a special emphasis on findings achieved within the territory of the former U.S.S.R, which has remained largely unknown to an international readership. The volume gathers authoritative studies on cognitive development, consciousness, attention and perception. It covers research on eye movements, language, speech and semantics, emotion, as well as brain functional states, and a variety of decision-making processes. It also highlights important advances in cognitive robotics and artificial intelligence, discussing brain-computer interfaces and other practically-relevant technologies. It includes studies on human subjects, in both healthy and disease conditions, and investigations on the molecular mechanisms of cognition in animal models. Chapters are based on invited lectures and peer-reviewed contributions to the 9th International Conference on Cognitive Sciences, Intercognsci–2020, held on October 10-16, 2020, in Moscow. The conference was organized by the Interregional Association of Cognitive Studies, with the participation of the Pavlov Society for Neurophysiology and Higher Nervous Activity, and supported by the Russian Academy of Sciences, the Russian Foundation for Basic Research and a number of the north eastern European research institutions. All in all, this book provides cognitive scientists around the world with a timely snapshot of interdisciplinary research and cutting-edge models, and a major source of inspiration for future collaborations in the areas of artificial intelligence and cognitive neuroscience.

Book Deep Learning Illustrated

Download or read book Deep Learning Illustrated written by Jon Krohn and published by Addison-Wesley Professional. This book was released on 2019-08-05 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come." – Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn. World-class instructor and practitioner Jon Krohn–with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens–presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered. You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitioners Explore new tools that make deep learning models easier to build, use, and improve Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Book How to Write  Publish  and Present in the Health Sciences

Download or read book How to Write Publish and Present in the Health Sciences written by Thomas Allen Lang and published by ACP Press. This book was released on 2010 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the acclaimed author of the standard reference on reporting statistics in medicine, this new resource explains how to create effective scientific articles, research proposals, abstracts, posters, and slide presentations. It describes how to write efficiently and how to prepare tables, charts, graphs, illustrations, and images for publication. A wealth of key concepts, practical information, common mistakes, and helpful tips make this book invaluable.

Book Ebony

    Book Details:
  • Author :
  • Publisher :
  • Release : 2005-09
  • ISBN :
  • Pages : 244 pages

Download or read book Ebony written by and published by . This book was released on 2005-09 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: EBONY is the flagship magazine of Johnson Publishing. Founded in 1945 by John H. Johnson, it still maintains the highest global circulation of any African American-focused magazine.

Book How to Report Statistics in Medicine

Download or read book How to Report Statistics in Medicine written by Thomas Allen Lang and published by ACP Press. This book was released on 2006 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a comprehensive and comprehensible set of guidelines for reporting the statistical analyses and research designs and activities commonly used in biomedical research.

Book Hands On Machine Learning with Scikit Learn  Keras  and TensorFlow

Download or read book Hands On Machine Learning with Scikit Learn Keras and TensorFlow written by Aurélien Géron and published by "O'Reilly Media, Inc.". This book was released on 2019-09-05 with total page 851 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets

Book Data Science and Machine Learning

Download or read book Data Science and Machine Learning written by Dirk P. Kroese and published by CRC Press. This book was released on 2019-11-20 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked-out examples Many concrete algorithms with actual code

Book Pro Deep Learning with TensorFlow

Download or read book Pro Deep Learning with TensorFlow written by Santanu Pattanayak and published by Apress. This book was released on 2017-12-06 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions. This book will allow you to get up to speed quickly using TensorFlow and to optimize different deep learning architectures. All of the practical aspects of deep learning that are relevant in any industry are emphasized in this book. You will be able to use the prototypes demonstrated to build new deep learning applications. The code presented in the book is available in the form of iPython notebooks and scripts which allow you to try out examples and extend them in interesting ways. You will be equipped with the mathematical foundation and scientific knowledge to pursue research in this field and give back to the community. What You'll Learn Understand full stack deep learning using TensorFlow and gain a solid mathematical foundation for deep learning Deploy complex deep learning solutions in production using TensorFlow Carry out research on deep learning and perform experiments using TensorFlow Who This Book Is For Data scientists and machine learning professionals, software developers, graduate students, and open source enthusiasts

Book The AI Economy

Download or read book The AI Economy written by Roger Bootle and published by Nicholas Brealey. This book was released on 2019-11-26 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gold winner in Business Technology category, 2020 Axiom Business Book Awards Extraordinary innovations in technology promise to transform the world, but how realistic is the claim that AI will change our lives? In this much needed book the acclaimed economist Roger Bootle responds to the fascinating economic questions posed by the age of the robot, steering a path away from tech jargon and alarmism towards a rational explanation of the ways in which the AI revolution will affect us all. Tackling the implications of Artificial Intelligence on growth, productivity, inflation and the distribution of wealth and power, THE AI ECONOMY also examines coming changes to the the way we educate, work and spend our leisure time. A fundamentally optimistic view which will help you plan for changing times, this book explains AI and leads you towards a more certain future. Extraordinary innovations in technology promise to transform the world, but how realistic is the claim that AI will change our lives? In this much needed book the acclaimed economist Roger Bootle responds to the fascinating economic questions posed by the age of the robot, steering a path away from tech jargon and alarmism towards a rational explanation of the ways in which the AI revolution will affect us all. Tackling the implications of Artificial Intelligence on growth, productivity, inflation and the distribution of wealth and power, THE AI ECONOMY also examines coming changes to the the way we educate, work and spend our leisure time. A fundamentally optimistic view which will help you plan for changing times, this book explains AI and leads you towards a more certain future.

Book Learning How to Learn

Download or read book Learning How to Learn written by Barbara Oakley, PhD and published by Penguin. This book was released on 2018-08-07 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid "rut think" in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.

Book Mastering the Core Teachings of the Buddha

Download or read book Mastering the Core Teachings of the Buddha written by Daniel Ingram and published by Aeon Books. This book was released on 2020-01-20 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: The very idea that the teachings can be mastered will arouse controversy within Buddhist circles. Even so, Ingram insists that enlightenment is an attainable goal, once our fanciful notions of it are stripped away, and we have learned to use meditation as a method for examining reality rather than an opportunity to wallow in self-absorbed mind-noise. Ingram sets out concisely the difference between concentration-based and insight (vipassana) meditation; he provides example practices; and most importantly he presents detailed maps of the states of mind we are likely to encounter, and the stages we must negotiate as we move through clearly-defined cycles of insight. Its easy to feel overawed, at first, by Ingram's assurance and ease in the higher levels of consciousness, but consistently he writes as a down-to-earth and compassionate guide, and to the practitioner willing to commit themselves this is a glittering gift of a book.In this new edition of the bestselling book, the author rearranges, revises and expands upon the original material, as well as adding new sections that bring further clarity to his ideas.

Book Joan Garry s Guide to Nonprofit Leadership

Download or read book Joan Garry s Guide to Nonprofit Leadership written by Joan Garry and published by John Wiley & Sons. This book was released on 2017-03-06 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonprofit leadership is messy Nonprofits leaders are optimistic by nature. They believe with time, energy, smarts, strategy and sheer will, they can change the world. But as staff or board leader, you know nonprofits present unique challenges. Too many cooks, not enough money, an abundance of passion. It’s enough to make you feel overwhelmed and alone. The people you help need you to be successful. But there are so many obstacles: a micromanaging board that doesn’t understand its true role; insufficient fundraising and donors who make unreasonable demands; unclear and inconsistent messaging and marketing; a leader who’s a star in her sector but a difficult boss… And yet, many nonprofits do thrive. Joan Garry’s Guide to Nonprofit Leadership will show you how to do just that. Funny, honest, intensely actionable, and based on her decades of experience, this is the book Joan Garry wishes she had when she led GLAAD out of a financial crisis in 1997. Joan will teach you how to: Build a powerhouse board Create an impressive and sustainable fundraising program Become seen as a ‘workplace of choice’ Be a compelling public face of your nonprofit This book will renew your passion for your mission and organization, and help you make a bigger difference in the world.

Book Cognition and Pragmatics

Download or read book Cognition and Pragmatics written by Dominiek Sandra and published by John Benjamins Publishing. This book was released on 2009 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ten volumes of "Handbook of Pragmatics Highlights" focus on the most salient topics in the field of pragmatics, thus dividing its wide interdisciplinary spectrum in a transparent and manageable way. While other volumes select philosophical, grammatical, social, variational, interactional, or discursive angles, this third volume focuses on the interface between language and cognition. Language use is impossible without the mobilization of a large variety of cognitive processes, each serving a different purpose. During the last half century cognitive approaches to language have been particularly successful, and the broad spectrum of contributions to this volume testify to this success. As cognitive approaches to language are by definition a subset of the larger enterprise of cognitive science, a contribution on this general topic sets the stage. This is joined by a chapter on cognitive grammar, a theoretical study of the architecture of human language that is deeply inspired by general cognitive principles. A chapter on experimentation offers a crash-course on basic issues of experimental design and on the rationale behind statistical testing in general and the most important statistical tests in particular, offering a methodological toolkit for understanding many of the other contributions. Different chapters cover a broad range of topics: language acquisition, psycholinguistics, specialized topics within the latter field (e.g. the bilingual mental lexicon, categorization), and aspects of language awareness. Some chapters home in on what have become indispensible perspectives on the cognitive underpinnings of language: the way language is represented and processed in the human brain and simulation studies. The ever-growing success of the latter type of studies is exemplified, for instance, by the highly flourishing connectionist tradition and the more general paradigm of artificial intelligence, each of which is dealt with in a separate contribution.