IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-19-6506-7_2.html
   My bibliography  Save this book chapter

Artificial Intelligence in Biological Sciences: A Brief Overview

In: Information Retrieval in Bioinformatics

Author

Listed:
  • Uma Dutta

    (Cotton University, Department of Zoology)

  • Nikhil Danny Babu

    (IIT Guwahati, Department of Physics)

  • Girish S. Setlur

    (IIT Guwahati, Department of Physics
    IIT Guwahati, Mehta Family School of Data Science and Artificial Intelligence)

Abstract

With the increase in availability of data and computing resources the field of Artificial Intelligence (AI) has seen an upsurge in recent years. AI has found broad ranging applicability in technology, banking, finance, sports, entertainment, and scientific research across various disciplines. In this chapter, we give a brief overview of the application of AI in the biological sciences. Starting from the basics of machine learning we go step by step to a brief description of more advanced concepts like Convolutional Neural Networks (CNNs) with minimum mathematical detail as possible to make this article accessible to readers without formal mathematical training. Some of the AI techniques used in neuroscience, medical diagnostics, and protein structure decoding are elaborated and some examples are discussed. We also discuss some of the common pitfalls or limiting factors encountered while using AI-based algorithms in various situations. The aim of this chapter is to elucidate these concepts and incite interest among the readers on this cutting-edge domain of AI applications in the biological sciences.

Suggested Citation

  • Uma Dutta & Nikhil Danny Babu & Girish S. Setlur, 2022. "Artificial Intelligence in Biological Sciences: A Brief Overview," Springer Books, in: Soumi Dutta & Saikat Gochhait (ed.), Information Retrieval in Bioinformatics, chapter 0, pages 19-35, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-6506-7_2
    DOI: 10.1007/978-981-19-6506-7_2
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-981-19-6506-7_2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.