Найти книгу: "What is Artificial Intelligence?"

This book engages with the title question: what is artificial intelligence (AI)? Instead of reiterating received definitions or surveying the field from a disciplinary perspective, the question is engaged here by putting two standpoints into conversation. The standpoints are different in their disciplinary groundings &#x2014; i.e. technology and the humanities &#x2014; and also in their approaches &#x2014; i.e. applied and conceptual. Peter is an AI engineer: his approach is in terms of how to make AI work. Suman is a humanities researcher: his approach is in terms of what people and academics mean when they say 'AI'.A coherent argument, if not a consensus, develops by putting the two standpoints into conversation. The conversation is presented in 32 short chapters, in turn by Suman and Peter. There are two parts: Part 1, Questioning AI, and Part 2, AI and Government Policy. The first part covers issues such as the meaning of intelligence, automation, evolution, artificial and language. It outlines some of the processes through which these concepts may be technologically grounded as AI. The second part addresses policy considerations that underpin the development of AI and responds to the consequences. Themes taken up here include: rights and responsibilities; data usage and state-level strategies in the USA, UK and China; unemployment and policy futures.<b>Contents:</b> <ul><li><b><i>Part 1: Questioning AI:</i></b><ul><li>Setting Terms</li><li>More Terms</li><li>Questioning Terms, and a Provisional Concept of Intelligence</li><li>Elaborating Terms</li><li>Methods and Approaches</li><li>Methods and Field</i></li><li>Discerning the Intelligent Agent</li><li>Realising the Intelligent Agent</li><li>Recognising the Intelligent Agent</li><li>The Intelligent Agent in the Prospect</i></li><li>Devolving Evolution</i></li><li>Evolution as a Creativity Engine</i></li><li>Evolution and Articles of Faith</i></li><li>On Evolution: Ungrounded Hardwired Knowledge Short Circuits Intelligence</li><li>On Evolution: Intelligence Short Circuits Ungrounded Hardwired Knowledge</li><li>Reflections on the Artificial in AI</li><li>Parameters of the Artificial in AI</li><li>Limits of the Artificial in AI</i></li><li>Restrictions on AI Research</li><li>Expectations of AI Research</li></ul></li><li><b><i>Part 2: AI and Government Policy:</i></b><ul><li>Policy and Legal Autonomy</li><li>Autonomy and Grounding Responsibility</li><li>Legal Autonomy: Rights and Responsibilities</li><li>Autonomy: Limiting and Conferring Rights</li><li>Note on Rights and Data Matters</li><li>Note on Qualia and Using Data</li><li>Doubting Qualia and Social Data</li><li>Data Users and Data Doubters</li><li>Data Distinctions and Data Nations</li><li>Data Doubters and Data Owners</li><li>Populism, Jobs and Policy Futures</li><li>Jobs, Futures and AI Engineers</li></ul></li></ul><br><b>Readership:</b> General informed readers. Readers with knowledge of AI and its underpinning principles will be interested. In particular, those with a disciplinary background in computing and technological development, policy studies, current affairs, philosophy and discourse analysis. Appropriate for undergraduate students and upwards, or those whose interest is more conceptual than the general user of technology. Intention;Final Purpose;Grounding;Consciousness;Recognition;Classification;Detection;Perception;Evolution;Creativity;Search;Optimization;Convolution Neural Networks;Face Recognition;Ethics;Data Scientists;Reinforcement Learning;Generative Methods;Discriminative Methods;Qualia;Statistics;automaton;natural language;Third Wave AI;Emergent Language;Agency;Artifice;Personhood;Responsibility;Awareness;Populism;Social Statistics;Climate0<b>Key Features:</b><ul><li>Engages with the field of AI research and policy as a conversation between two distinct standpoints: science/technology and humanities/social studies; instrumental (applied) and conceptual (clarificatory); inductive and deductive reasoning. Genuinely interdisciplinary</li><li>The focus throughout is on contested concepts and unresolved questions in the field. The book therefore offers a front-line sense of the field</li><li>Attention is given both to the content of the field and to the manner in which (preconceptions with which) it is expressed. This is extremely rare in existing publications on AI</li><li>The presentation of the book as a conversation will engage readers. This instils a dramatic interest in the development of the argument</li><li>Attempts are made to provide points of view that are based not only on deliberation but also on personal experiences that allowing for unique insights that may be of use for further contemplation</li><li>The meandering nature of the book is a consequence of the dyadic structure of conversation. This results in a wide-ranging set of topics that are both considered and explored</li></ul>

Bridge the big data gap with Microsoft Business Intelligence Tools for Excel Analysts The distinction between departmental reporting done by business analysts with Excel and the enterprise reporting done by IT departments with SQL Server and SharePoint tools is more blurry now than ever before. With the introduction of robust new features like PowerPivot and Power View, it is essential for business analysts to get up to speed with big data tools that in the past have been reserved for IT professionals. Written by a team of Business Intelligence experts, Microsoft Business Intelligence Tools for Excel Analysts introduces business analysts to the rich toolset and reporting capabilities that can be leveraged to more effectively source and incorporate large datasets in their analytics while saving them time and simplifying the reporting process. Walks you step-by-step through important BI tools like PowerPivot, SQL Server, and SharePoint and shows you how to move data back and forth between these tools and Excel Shows you how to leverage relational databases, slice data into various views to gain different visibility perspectives, create eye-catching visualizations and dashboards, automate SQL Server data retrieval and integration, and publish dashboards and reports to the web Details how you can use SQL Server’s built-in functions to analyze large amounts of data, Excel pivot tables to access and report OLAP data, and PowerPivot to create powerful reporting mechanisms You’ll get on top of the Microsoft BI stack and all it can do to enhance Excel data analysis with this one-of-a-kind guide written for Excel analysts just like you.

Building an analysis ecosystem for a smarter approach to intelligence Keith Carter's Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast! is the comprehensive guide to achieving the dream that business intelligence practitioners have been chasing since the concept itself came into being. Written by an IT visionary with extensive global supply chain experience and insight, this book describes what happens when team members have accurate, reliable, usable, and timely information at their fingertips. With a focus on leveraging big data, the book provides expert guidance on developing an analytical ecosystem to effectively manage, use the internal and external information to deliver business results. This book is written by an author who's been in the trenches for people who are in the trenches. It's for practitioners in the real world, who know delivering results is easier said than done – fraught with failure, and difficult politics. A landscape where reason and passion are needed to make a real difference. This book lays out the appropriate way to establish a culture of fact-based decision making, innovation, forward looking measurements, and appropriate high-speed governance. Readers will enable their organization to: Answer strategic questions faster Reduce data acquisition time and increase analysis time to improve outcomes Shift the focus to positive results rather than past failures Expand opportunities by more effectively and thoughtfully leveraging information Big data makes big promises, but it cannot deliver without the right recipe of people, processes and technology in place. It's about choosing the right people, giving them the right tools, and taking a thoughtful—rather than formulaic–approach. Actionable Intelligence provides expert guidance toward envisioning, budgeting, implementing, and delivering real benefits.

Featuring numerous updates and enhancements, Science Fiction and Philosophy, 2nd Edition, presents a collection of readings that utilize concepts developed from science fiction to explore a variety of classic and contemporary philosophical issues. Uses science fiction to address a series of classic and contemporary philosophical issues, including many raised by recent scientific developments Explores questions relating to transhumanism, brain enhancement, time travel, the nature of the self, and the ethics of artificial intelligence Features numerous updates to the popular and highly acclaimed first edition, including new chapters addressing the cutting-edge topic of the technological singularity Draws on a broad range of science fiction’s more familiar novels, films, and TV series, including I, Robot, The Hunger Games, The Matrix, Star Trek, Blade Runner, and Brave New World Provides a gateway into classic philosophical puzzles and topics informed by the latest technology