Feature

Basic instincts

See allHide authors and affiliations

Science  25 May 2018:
Vol. 360, Issue 6391, pp. 845-847
DOI: 10.1126/science.360.6391.845

eLetters is an online forum for ongoing peer review. Submission of eLetters are open to all. eLetters are not edited, proofread, or indexed.  Please read our Terms of Service before submitting your own eLetter.

Compose eLetter

Plain text

  • Plain text
    No HTML tags allowed.
  • Web page addresses and e-mail addresses turn into links automatically.
  • Lines and paragraphs break automatically.
Author Information
First or given name, e.g. 'Peter'.
Your last, or family, name, e.g. 'MacMoody'.
Your email address, e.g. higgs-boson@gmail.com
Your role and/or occupation, e.g. 'Orthopedic Surgeon'.
Your organization or institution (if applicable), e.g. 'Royal Free Hospital'.
Statement of Competing Interests
CAPTCHA

This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

Image CAPTCHA
Enter the characters shown in the image.

Vertical Tabs

  • “Gut instinct” of the standard penetration test (SPT) is predictable with machine learning

    Artificial neural network including deep learning is a simplified mathematical model which may be resembled but is not exactly the same as real bio-system. Taking advantage of “machine”, the machine system can be trained without rest not-like human beings. In the machine learning, the level of human expert training can be achieved within less than a month. Matthew Hutson mentioned “basic instincts” (1). We have been challenging to “gut instinct” using ensemble machine learning for building an AI drilling-machine. Experts of drilling may be able to control a drilling machine by using several parameters. Actually more than 20 parameters are available in a drilling machine. Experts must understand the features of the drilling soil for controlling. The value of the standard penetration test (SPT) indicates how hard the drilling soil is. After machine learning using several thousand data, “gut instinct” of SPT is predictable with more than 90% accuracy in the AI system.

    References:
    1. Matthew Hutson, “basic instincts,” Science 25 May 2018: Vol. 360, Issue 6391, pp. 845-847

    Competing Interests: None declared.