Skip to main content
Home
plus.maths.org

Secondary menu

  • My list
  • About Plus
  • Sponsors
  • Subscribe
  • Contact Us
  • Log in
  • Main navigation

  • Home
  • Articles
  • Collections
  • Podcasts
  • Maths in a minute
  • Puzzles
  • Videos
  • Topics and tags
  • For

    • cat icon
      Curiosity
    • newspaper icon
      Media
    • graduation icon
      Education
    • briefcase icon
      Policy

      Popular topics and tags

      Shapes

      • Geometry
      • Vectors and matrices
      • Topology
      • Networks and graph theory
      • Fractals

      Numbers

      • Number theory
      • Arithmetic
      • Prime numbers
      • Fermat's last theorem
      • Cryptography

      Computing and information

      • Quantum computing
      • Complexity
      • Information theory
      • Artificial intelligence and machine learning
      • Algorithm

      Data and probability

      • Statistics
      • Probability and uncertainty
      • Randomness

      Abstract structures

      • Symmetry
      • Algebra and group theory
      • Vectors and matrices

      Physics

      • Fluid dynamics
      • Quantum physics
      • General relativity, gravity and black holes
      • Entropy and thermodynamics
      • String theory and quantum gravity

      Arts, humanities and sport

      • History and philosophy of mathematics
      • Art and Music
      • Language
      • Sport

      Logic, proof and strategy

      • Logic
      • Proof
      • Game theory

      Calculus and analysis

      • Differential equations
      • Calculus

      Towards applications

      • Mathematical modelling
      • Dynamical systems and Chaos

      Applications

      • Medicine and health
      • Epidemiology
      • Biology
      • Economics and finance
      • Engineering and architecture
      • Weather forecasting
      • Climate change

      Understanding of mathematics

      • Public understanding of mathematics
      • Education

      Get your maths quickly

      • Maths in a minute

      Main menu

    • Home
    • Articles
    • Collections
    • Podcasts
    • Maths in a minute
    • Puzzles
    • Videos
    • Topics and tags
    • Audiences

      • cat icon
        Curiosity
      • newspaper icon
        Media
      • graduation icon
        Education
      • briefcase icon
        Policy

      Secondary menu

    • My list
    • About Plus
    • Sponsors
    • Subscribe
    • Contact Us
    • Log in
    • New ways of seeing with the INTEGRAL project

      26 April, 2022
      some of the members of the INTEGRAL team

      Some of the members of the INTEGRAL team who spoke to us over zoom. From top left: Carola-Bibiane Schönlieb, James Woodcock, Angelica Aviles-Rivero, Saurabh Pandey, Sanjay Bisht, Debmita Bandyopadhyay, Rihuan Ke, David Coomes.

      It's amazing what you can see now thanks to remote imaging technology! Visiting far away landscapes via satellite images or watching live feeds from a famous street is fun, but remotely gathered images offer exciting opportunities to map and observe the world. The problem is that the vast amount of remotely gathered data now available is useless on it's own – we need to have the means to analyse and extract information from those images.

      This is exactly what the members of the INTEGRAL project, researchers based at the University of Cambridge and researchers and industry partners in India, are working on. This is an innovative collaboration between people collecting remote sensing data – such as satellite images of forests and video from traffic cameras – and researchers developing the technology to analyse those remotely gathered images to answer meaningful questions.

      In this podcast we talk to some of the members of the INTEGRAL team about the innovative machine learning approaches they are developing to understand remotely gathered images, and the significant impact these technologies can have on the world. Our thanks to Carola-Bibiane Schönlieb, James Woodcock, Angelica Aviles Rivero, Debmita Bandyopadhyay, Rihuan Ke and David Coomes, all from the University of Cambridge, and to Saurabh Pandey from KritiKal Solutions and Sanjay Bisht from IORA Ecological Solutions, both based in India.

      You can read more about the INTEGRAL team's work in Seeing traffic through new eyes and about their new AI approaches in Maths in a minute: Semi-supervised machine learning. And you can find much more information about machine learning and image analysis on Plus.

      • Log in or register to post comments
      You can listen to the podcast using the player above, and you can listen and subscribe to our podcast through Apple Podcasts, Spotify and through most other podcast providers via podbean.

      Read more about...

      INTEGRAL
      machine learning
      artificial intelligence
      image analysis
      data presentation and interpretation
      mathematical modelling
      University of Cambridge
      mathematics of information
      Saurabh Pandey
      Sanjay Bisht
      University of Cambridge logo

      Plus Magazine is part of the family of activities in the Millennium Mathematics Project.
      Copyright © 1997 - 2025. University of Cambridge. All rights reserved.

      Terms