New Kind of Machine Learning–Cellular Automata Model - Hardcover

Pal Chaudhuri, Parimal; Dutta, Adip; Pal Choudhury, Somshubhro; Roy Chowdhury, Dipanwita; Hazari, Raju

Hardcover

ISBN 10: 9819615003 ISBN 13: 9789819615001

Publisher: Springer, 2025

Synopsis

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.

About this title

About the Author

Prof Parimal Pal Chaudhuri is the Chief Scientific Officer and Founder of CARLBio. He is a renowned academician and researcher on Cellular Automata for over 30 years. He started his career at IBM back in the early 60’s and shifted to academia in the mid 70’s where he founded the Computer Science Department of Indian Institute of Technology (IIT) Kharagpur. He was the Head of Department for several years where he pioneered industry-academia research in India and initiated the research in Cellular Automata. He was a Visiting Research Professor at Intel Research Labs, Oregon, USA where his CA research was applied in testing of asynchronous circuits of Intel chips. On his return to India, he joined his alma mater, Bengal Engineering and Science University where he continued his CA research focusing on end applications in partnership with several MNCs. He held several assignments on sabbaticals - as a consultant to Cadence Design Systems and as a Visiting Professor at University of Illinois, Urbana Champaign, USA. He has supervised research of 20 Ph.D. students, authored 2 books and over 200 research publications. He is a Fellow of National Academy of Engineers (India) and was awarded the Thomas Ward Memorial Gold Medal by Institution of Engineers (India). 

Adip Dutta is a Senior Researcher at CARLBio. For more than thirty-three years, Adip Dutta has worked in diverse domains - developing algorithms, smart devices, sensor networks, power conversion, automation, motion control and instrumentation. Adip was DRDO (Defence Research and Development Organization) Scientist for several years working on high power LASER systems, thermal Imaging and optimal control algorithms. He worked with Raman Research Institute and ISRO (Indian Space Research Organization). Adip was the chief of R&D division in National Instruments and was senior architect in the advanced technology division of Portalplayer, the designer of the firstSOC used in Apple’s iPOD. He was the Chief Knowledge Officer of Hamilton Research and was a Research Consultant to nComputing Inc. USA. Since 2012 he is associated with the development of CA applications in biology pioneered by CARLBio. He completed his graduation in Physics in 1982 and B.Tech (1985) in Electronics.

Somshubhro (Som) Pal Choudhury is an investor, advisor and director at CARLBio. He is a Partner at Bharat Innovations Fund, a $100M fund focused on building disruptive and innovation led startups out of India. He is a thought leader in Internet of Things (IoT) space, formerly a board and executive council member of India Electronics and Semiconductor Association (IESA),  co-founder and co-chair of India’s premier IoT event, IoTNext and ecosystem building initiative, IoTForum. Mr. Choudhury was previously the Managing Director for Analog Devices India, wholly owned subsidiary of a US based $3.5B semiconductor MNC, Analog Devices. He was based for almost 2 decades in Silicon Valley in various roles: Global Director of Product Mgmt and Marketing of Consumer Business Unit at NETGEAR, first employee of an early M2M/IoT company in the energy management and Smart grid space, American Grid and held several management and engineering roles at Cadence Design Systems. He is a Wharton-UPenn MBA, and engineering degrees from Indian Institute of Technology (IIT) Kharagpur and North Carolina State University.

Prof. Dipanwita Roy Chowdhury has received her B.Tech and M.Tech degrees in Computer Science from University of Kolkata and the PhD degree from the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur. She is a Professor in the Department of Computer Science and Engineering, IIT Kharagpur, India. Currently, she is the Head of the Department of Computer Science and Engineering, IIT Kharagpur. Her current research interests are in the field of Cryptography, Error Correcting Code, Cellular Automata, and VLSI Design and Testing. She has guided 15 PhD students and published more than 150 technical papers in International Journals and Conferences. Prof. Roy Chowdhury is the recipient of INSA Young Scientist Award and Associate of Indian Academy of Science. She is a Senior Member of IEEE and the Fellow of Indian National Academy of Engineers (INAE).

 

Dr. Raju Hazari has graduation (2009) and masters (2013) in Information Technology from Bengal Engineering and Science University, Shibpur, and PhD (2019) in Theoretical Computer Science from Indian Institute of Engineering Science and Technology, Shibpur. He is currently an Assistant Professor in the Department of Computer Science and Engineering at National Institute of Technology, Calicut. His main topics of interest are: Cellular Automata and Machine Learning.

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2025
• Language: English
• ISBN 10: 9819615003
• ISBN 13: 9789819615001
• Binding: Hardcover
• Number of pages: 411