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Lab Animal Technology Feature – Machine learning

Booking Deadline May 08
Publication Name:
Lab Animal
Materials Due:
May 09
Machine Learning
Publication Date:
Jun 01

Don’t miss this opportunity to target an engaged audience interested in machine learning!

Machine learning: improving the process of annotating animal data

Machine learning, and its deep learning offshoot, is a fast-paced field that’s starting to make its mark in the animal lab, particularly in areas marked by repetitive tasks. Behavioral phenotyping—identifying what an animal is doing—is an important aspect of animal research, but it has long relied on manpower. If a human can do it, can a computer do it too?

Getting there means finding the right algorithm and adapting it to a particular research question, and then training the system to make the right predictions. For the less computer-savvy, many developers are also working on graphical user interfaces to get their tools into more hands. It can be a big task, but algorithms are becoming more sophisticated, and, if properly trained, may help eliminate or reduce the need for a human to work through increasing hours of recordings to annotate and label their animal data.

This Technology Feature Will Cover:

  • Some basics about machine and deep learning algorithms
  • How researchers are finding, building, training and sharing their own machine learning-based tools
  • Examples of applications for animal research

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