Numbers and Computers
暫譯: 數字與電腦

Kneusel, Ronald T.

Numbers and Computers
  • 出版商: Springer
  • 出版日期: 2024-12-04
  • 售價: $2,810
  • 貴賓價: 9.5 折 $2,670
  • 語言: 英文
  • 頁數: 404
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031674812
  • ISBN-13: 9783031674815

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This textbook details the variety of number formats used by computers, thereby helping to ground readers in what can and cannot be represented accurately, especially by floating-point numbers.

The book's first part details standard representations of integers and floating-point numbers. The second explores other number representations, including the wide variety recently developed to support artificial intelligence (AI) and its demand for efficiency in representation to accommodate the ever-expanding scope of neural network models. Chapters describe each format, with examples in code (Python and C) and exercises. This new edition includes three new chapters on posits, AI number formats, and a collaborative experiment with an AI to generate novel number formats.

Topics and features:

  • Explores how computers use numbers to complete operations
  • Adds new chapters on posits and AI number formats
  • Includes exercises and examples that are code snippets in C or Python
  • Implements and tests new AI-designed number formats (as designed by GPT-4)
  • Provides thorough grounding on what can and cannot be represented accurately

A textbook eminently suitable for undergraduates in computer science, the work also will appeal to software developers, engineers, scientists, AI experts, and anyone who programs for fun.

商品描述(中文翻譯)

這本教科書詳細介紹了電腦使用的各種數字格式，幫助讀者了解哪些可以準確表示，哪些則不行，特別是浮點數的表示。

本書的第一部分詳細說明了整數和浮點數的標準表示法。第二部分探討了其他數字表示法，包括最近為支持人工智慧（AI）而開發的各種格式，這些格式對表示的效率有著日益增長的需求，以適應不斷擴展的神經網絡模型範疇。各章節描述了每種格式，並提供了代碼示例（Python 和 C）及練習。本新版本新增了三個新章節，分別關於 posits、AI 數字格式，以及與 AI 合作生成新數字格式的實驗。

主題和特點：


  • 探討電腦如何使用數字來完成操作

  • 新增新章節，介紹 posits 和 AI 數字格式

  • 包含練習和示例，這些示例是 C 或 Python 的代碼片段

  • 實現並測試新的 AI 設計數字格式（由 GPT-4 設計）

  • 提供對於哪些可以準確表示、哪些不可以的全面理解


這本教科書非常適合計算機科學的本科生，同時也會吸引軟體開發人員、工程師、科學家、AI 專家以及任何喜歡編程的人。

作者簡介

Dr. Ronald T. Kneusel is a Senior Data Scientist with L3Harris. He received his Ph.D. in Computer Science from the University of Colorado, Boulder, in machine learning, and his M.S. in Physics from Michigan State University. His background includes work in breast cancer research and early functional MRI (Medical College of Wisconsin) through medical device development (MR, CT, US) to medical imaging and remote sensing image analysis. He has been deeply involved with software development at all levels since his first forays with an 8-bit Apple II+ computer in the early 1980s hooked him for life. Dr. Kneusel is currently working with L3Harris on the application of modern machine learning techniques to remote sensing imagery and related modalities. He is the author of multiple books and peer-reviewed research articles.

作者簡介(中文翻譯)

羅納德·T·克紐瑟博士是L3Harris的資深數據科學家。他在科羅拉多大學博爾德分校獲得計算機科學博士學位，專攻機器學習，並在密歇根州立大學獲得物理學碩士學位。他的背景包括在乳腺癌研究和早期功能性磁共振成像（威斯康辛醫學院）方面的工作，從醫療設備開發（MR、CT、US）到醫療影像和遙感影像分析。他自1980年代初期首次接觸8位元的Apple II+電腦以來，便深深投入軟體開發的各個層面，這成為他一生的熱情。克紐瑟博士目前在L3Harris工作，專注於將現代機器學習技術應用於遙感影像及相關模式。他是多本書籍和同行評審研究文章的作者。

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