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New kind of machine learning--cellular automata model

Record Type:	Electronic resources : Monograph/item
Title/Author:	New kind of machine learning--cellular automata modelby Parimal Pal Chaudhuri ... [et al.].
other author:	Pal Chaudhuri, Parimal.
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xvi, 395 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence.
Online resource:	https://doi.org/10.1007/978-981-96-1501-8
ISBN:	9789819615018$q(electronic bk.)

New kind of machine learning--cellular automata model
New kind of machine learning--cellular automata model[electronic resource] /by Parimal Pal Chaudhuri ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xvi, 395 p. :ill., digital ;24 cm.

Thinking Machines, Thinking Minds: AI & Cognitive Science -- Trends, Challenges and New Frontiers of Artiﬁcial Intelligence -- Biological Neural Network, Artiﬁcial Neural Network and Cellular Automata -- CA Rule Design for Proteomics and Linguistics -- CAML Model for Computational Biology -- CAML model for Computational Linguistics -- Cellular Automata based Binarized Machine Learning Model.

This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver eﬃcient computation with minimal training data and low computing resources. CAML operates through two key perspectives: one where CA is enhanced by ML to handle complex non-linear evolution, and another where CA strengthens ML by leveraging linear CA evolution to process linear functions eﬀectively. The book focuses on real-world applications of CA, such as in Computational Biology, where CAML models protein chains to predict mutations linked to human diseases, using carefully designed CA rule sequences for each amino acid. Another signiﬁcant application is in multi-language Sentiment Analysis, where the model analyzes text in ﬁve languages (Hindi, Arabic, English, Greek, and Georgian), without relying on pre-trained language models. CAML uses CA rules for Unicode character modeling, oﬀering a transparent, interpretable prediction algorithm. Overall, CAML aims to drive industrial and societal applications of CA, with an emphasis on transparent results and eﬃcient hardware design through CA's regular, modular, and scalable structure.

ISBN: 9789819615018$q(electronic bk.)

Standard No.: 10.1007/978-981-96-1501-8doiSubjects--Topical Terms:

194058
Artificial intelligence.

LC Class. No.: Q334

Dewey Class. No.: 006.3

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520 $a This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver eﬃcient computation with minimal training data and low computing resources. CAML operates through two key perspectives: one where CA is enhanced by ML to handle complex non-linear evolution, and another where CA strengthens ML by leveraging linear CA evolution to process linear functions eﬀectively. The book focuses on real-world applications of CA, such as in Computational Biology, where CAML models protein chains to predict mutations linked to human diseases, using carefully designed CA rule sequences for each amino acid. Another signiﬁcant application is in multi-language Sentiment Analysis, where the model analyzes text in ﬁve languages (Hindi, Arabic, English, Greek, and Georgian), without relying on pre-trained language models. CAML uses CA rules for Unicode character modeling, oﬀering a transparent, interpretable prediction algorithm. Overall, CAML aims to drive industrial and societal applications of CA, with an emphasis on transparent results and eﬃcient hardware design through CA's regular, modular, and scalable structure.
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