New Kind of Machine Learning — Cellular Automata Model
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Computing and Information Technology > Computer science > Artificial intelligence > Machine learning > New Kind of Machine Learning–Cellular Automata Model
New Kind of Machine Learning–Cellular Automata Model

New Kind of Machine Learning–Cellular Automata Model


     0     
5
4
3
2
1



International Edition


X
About the Book

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.

Table of Contents:
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.

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.


Best Sellers


Product Details
  • ISBN-13: 9789819615001
  • Publisher: Springer Nature Switzerland AG
  • Publisher Imprint: Springer Nature Switzerland AG
  • Height: 235 mm
  • No of Pages: 395
  • Width: 155 mm
  • ISBN-10: 9819615003
  • Publisher Date: 26 Apr 2025
  • Binding: Hardback
  • Language: English
  • Returnable: N


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
New Kind of Machine Learning–Cellular Automata Model
Springer Nature Switzerland AG -
New Kind of Machine Learning–Cellular Automata Model
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

New Kind of Machine Learning–Cellular Automata Model

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    Fresh on the Shelf


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!