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Artificial Intelligence And Mathematics


Artificial Intelligence And Mathematics
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Artificial Intelligence In Mathematics


Artificial Intelligence In Mathematics
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Author : Jeffrey Johnson
language : en
Publisher: Oxford University Press, USA
Release Date : 1994

Artificial Intelligence In Mathematics written by Jeffrey Johnson and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.


This book offers a revelatory glimpse into the future--when science, social science, and social administration will be based on the complementary interplay between artificial intelligence, mathematics, and statistics. Comprised of contributions from a broad range of leading scientists and researchers, the book outlines how artificial intelligence supplies insights into the nature of complex problems, mathematics offers a rich language for presenting systems and methods for investigating them rigorously, and statistics provides the interface between theory and data from both observation and experiment. Students and researchers in applied mathematics, artificial intelligence, and statistics interested in the growing integration of computer technologies and modern mathematical breakthroughs will want to read this important new book.



Mathematics Education In The Age Of Artificial Intelligence


Mathematics Education In The Age Of Artificial Intelligence
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Author : Philippe R. Richard
language : en
Publisher: Springer
Release Date : 2022-03-15

Mathematics Education In The Age Of Artificial Intelligence written by Philippe R. Richard and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-15 with Education categories.


This book highlights the contribution of artificial intelligence for mathematics education. It provides concrete ideas supported by mathematical work obtained through dynamic international collaboration, and discusses the flourishing of new mathematics in the contemporary world from a sustainable development perspective. Over the past thirty years, artificial intelligence has gradually infiltrated all facets of society. When it is deployed in interaction with the human designer or user, AI certainly raises new ethical questions. But as soon as it aims to augment intelligence in a kind of human-machine partnership, it goes to the heart of knowledge development and the very performance of work. The proposed themes and the sections of the book address original issues relating to the creation of AI milieus to work on mathematics, to the AI-supported learning of mathematics and to the coordination of « usual » paper/pencil techniques and « new » AI-aided educational working spaces. The authors of the book and the coordinators of each section are all established specialists in mathematics didactics, mathematics and computer science. In summary, this book is a must-read for everyone interested in the teaching and learning of mathematics, and it concerns the interaction between the human and the machine in both directions. It contains ideas, questions and inspiration that invite to take up the challenge of Artificial Intelligence contributing to Mathematical Human Learning.



The Mathematics Of Artificial Intelligence For High Schoolers


The Mathematics Of Artificial Intelligence For High Schoolers
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Author : Paul Wilmott
language : en
Publisher:
Release Date : 2023-08-04

The Mathematics Of Artificial Intelligence For High Schoolers written by Paul Wilmott and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-04 with categories.


This is the book that introduces schoolchildren to the mathematics behind Artificial Intelligence! There are books with no mathematics, just the description of what AI can do. Then there are books with no mathematics, just lots of computer code. And there are books with lots and lots of mathematics which are incomprehensible without a degree in mathematics. But there aren't books like this one! This book is for children who are confident in their mathematics. They do not have to be advanced or even top of their class. But they do have to be comfortable with learning new concepts. Here are some of those concepts, and how simple they are. Representing data as a vector: A list of numbers, don't be fooled by the big parentheses! Scaling the data: Taking away and multiplying. That was easy! Distance measurement: Taking away and adding up. Squaring and square rooting if you are feeling really adventurous! Charts: Putting dots on a piece of graph paper! Exhausted, not! The equation of a straight line: y = ax+b. You can do it! Averages: Adding up and dividing. You know how to divide, don't you, Steve? Yes, it's mathematics, but nothing to frighten the horses! The book starts with a chapter with some history of AI. This is followed by a chapter of jargon, useful mathematics, and a description of the main techniques. Then it's one chapter on each of Nearest Neighbours, Regression, Clustering, Decision Trees, Neural Networks and Reinforcement Learning. Each of these in-depth chapters covers uses of the technique, the mathematical details, a real example and then a project for readers to work through on their own or in teams. The book ends with sources for some useful data.



First Symposium On Artificial Intelligence For Mathematics Education Book Of Abstracts Ai4me 2020


First Symposium On Artificial Intelligence For Mathematics Education Book Of Abstracts Ai4me 2020
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Author : Philippe R. Richard
language : en
Publisher: Ed. Universidad de Cantabria
Release Date : 2020-10-29

First Symposium On Artificial Intelligence For Mathematics Education Book Of Abstracts Ai4me 2020 written by Philippe R. Richard and has been published by Ed. Universidad de Cantabria this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-29 with Mathematics categories.


The digital revolution that we have experienced since the last quarter of the twentieth century has had some influence, yet to be analysed and extended, on the way mathematics is made, taught and learned. While the rate of innovation in these technologies is growing exponentially, the potential impact of most information technologies on mathematical education remains to be fully exploited. In particular, several authoritative voices point out that the technology that will most likely transform education in the coming years is artificial intelligence (AI). Interestingly, today AI is mainly associated with technologies to automate tasks and lower costs, thus serving primarily the interests of the political-administrative, industrial and commercial world. In this scenario, the world of education and, more specifically, didactics, appears at best as a mere user of AI techniques developed in other fields, forgetting that AI should play a much more relevant role here, serving the human being who is doing his work as a mathematician or who is learning mathematics. The AI4ME symposium at the International Centre for Mathematical Meetings (CIEM) in Castro Urdiales is a space for research and reflection to better understand the interconnected challenges of instrumental learning of mathematics and instrumental mathematics, taking advantage of the achievements and opportunities of Artificial Intelligence for Mathematical Education. This book of abstracts gathers the summaries of the talks presented at the symposium, as well as the conclusions of each of the four thematic groups.



Artificial Intelligence And Symbolic Mathematical Computation


Artificial Intelligence And Symbolic Mathematical Computation
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Author : Jaques Calmet
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-09-11

Artificial Intelligence And Symbolic Mathematical Computation written by Jaques Calmet and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-09-11 with Computers categories.


Spine title: AISMC-3 : artificial intelligence and symbolic mathematical computation.



Engineering Mathematics And Artificial Intelligence


Engineering Mathematics And Artificial Intelligence
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Author : Herb Kunze
language : en
Publisher: CRC Press
Release Date : 2023-07-26

Engineering Mathematics And Artificial Intelligence written by Herb Kunze and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-26 with Technology & Engineering categories.


The fields of Artificial Intelligence (AI) and Machine Learning (ML) have grown dramatically in recent years, with an increasingly impressive spectrum of successful applications. This book represents a key reference for anybody interested in the intersection between mathematics and AI/ML and provides an overview of the current research streams. Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications discusses the theory behind ML and shows how mathematics can be used in AI. The book illustrates how to improve existing algorithms by using advanced mathematics and offers cutting-edge AI technologies. The book goes on to discuss how ML can support mathematical modeling and how to simulate data by using artificial neural networks. Future integration between ML and complex mathematical techniques is also highlighted within the book. This book is written for researchers, practitioners, engineers, and AI consultants.



Mathematics Education In The Age Of Artificial Intelligence


Mathematics Education In The Age Of Artificial Intelligence
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Author : Philippe R. Richard
language : en
Publisher: Springer Nature
Release Date : 2022-03-09

Mathematics Education In The Age Of Artificial Intelligence written by Philippe R. Richard and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-09 with Education categories.


This book highlights the contribution of artificial intelligence for mathematics education. It provides concrete ideas supported by mathematical work obtained through dynamic international collaboration, and discusses the flourishing of new mathematics in the contemporary world from a sustainable development perspective. Over the past thirty years, artificial intelligence has gradually infiltrated all facets of society. When it is deployed in interaction with the human designer or user, AI certainly raises new ethical questions. But as soon as it aims to augment intelligence in a kind of human-machine partnership, it goes to the heart of knowledge development and the very performance of work. The proposed themes and the sections of the book address original issues relating to the creation of AI milieus to work on mathematics, to the AI-supported learning of mathematics and to the coordination of « usual » paper/pencil techniques and « new » AI-aided educational working spaces. The authors of the book and the coordinators of each section are all established specialists in mathematics didactics, mathematics and computer science. In summary, this book is a must-read for everyone interested in the teaching and learning of mathematics, and it concerns the interaction between the human and the machine in both directions. It contains ideas, questions and inspiration that invite to take up the challenge of Artificial Intelligence contributing to Mathematical Human Learning.



Mathematical Aspects Of Artificial Intelligence


Mathematical Aspects Of Artificial Intelligence
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Author : Frederick Hoffman
language : en
Publisher: American Mathematical Soc.
Release Date : 1998

Mathematical Aspects Of Artificial Intelligence written by Frederick Hoffman and has been published by American Mathematical Soc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.


There exists a history of great expectations and large investments involving artificial intelligence (AI). There are also notable shortfalls and memorable disappointments. One major controversy regarding AI is just how mathematical a field it is or should be. This text includes contributions that examine the connections between AI and mathematics, demonstrating the potential for mathematical applications and exposing some of the more mathematical areas within AI. The goal is to stimulate interest in people who can contribute to the field or use its results. Included in the work by M. Newborn on the famous Deep BLue chess match. He discusses highly mathematical techniques involving graph theory, combinatorics and probability and statistics. G. Shafer offers his development of probability through probability trees with some of the results appearing here for the first time. M. Golumbic treats temporal reasoning with ties to the famous Frame Problem. His contribution involves logic, combinatorics and graph theory and leads to two chapters with logical themes. H. Kirchner explains how ordering techniques in automated reasoning systems make deduction more efficient. Constraint logic programming is discussed by C. Lassez, who shows its intimate ties to linear programming with crucial theorems going back to Fourier. V. Nalwa's work provides a brief tour of computer vision, tying it to mathematics - from combinatorics, probability and geometry to partial differential equations. All authors are gifted expositors and are current contributors to the field. The wide scope of the volume includes research problems, research tools and good motivational material for teaching.



Mathematical Models Using Artificial Intelligence For Surveillance Systems


Mathematical Models Using Artificial Intelligence For Surveillance Systems
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Author : Padmesh Tripathi
language : en
Publisher: John Wiley & Sons
Release Date : 2024-09-18

Mathematical Models Using Artificial Intelligence For Surveillance Systems written by Padmesh Tripathi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-18 with Computers categories.


This book gives comprehensive insights into the application of AI, machine learning, and deep learning in developing efficient and optimal surveillance systems for both indoor and outdoor environments, addressing the evolving security challenges in public and private spaces. Mathematical Models Using Artificial Intelligence for Surveillance Systems aims to collect and publish basic principles, algorithms, protocols, developing trends, and security challenges and their solutions for various indoor and outdoor surveillance applications using artificial intelligence (AI). The book addresses how AI technologies such as machine learning (ML), deep learning (DL), sensors, and other wireless devices could play a vital role in assisting various security agencies. Security and safety are the major concerns for public and private places in every country. Some places need indoor surveillance, some need outdoor surveillance, and, in some places, both are needed. The goal of this book is to provide an efficient and optimal surveillance system using AI, ML, and DL-based image processing. The blend of machine vision technology and AI provides a more efficient surveillance system compared to traditional systems. Leading scholars and industry practitioners are expected to make significant contributions to the chapters. Their deep conversations and knowledge, which are based on references and research, will result in a wonderful book and a valuable source of information.



Engineering Mathematics And Artificial Intelligence


Engineering Mathematics And Artificial Intelligence
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Author : Herb Kunze
language : en
Publisher:
Release Date : 2023-07

Engineering Mathematics And Artificial Intelligence written by Herb Kunze and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07 with Artificial intelligence categories.


"Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications discusses the theory behind Machine Learning and shows how Mathematics can be used in Artificial Intelligence. The book illustrates how to improve existing algorithms by using advanced Mathematics and offers cutting-edge Artificial Intelligence technologies. The book goes on to discuss how Machine Learning can support mathematical modeling and how to simulate data by using artificial neural networks. Future integration between Machine Learning and complex mathematical techniques is also highlighted within the book"--