Modern machine learning is great for helping scientists sort through huge, unwieldy data sets. But it’s less useful for things that require inference or reasoning – both vital to the scientific process.
One group of scientists are now trying to fix this problem with a completely new kind of machine learning. This new approach aims to find the underlying algorithmic models that interact and generate data, to help scientists uncover the dynamics of cause and effect. This could aid researchers across a huge range of scientific fields, such as cell biology and genetics, answering the kind of questions that typical machine learning is not designed for.
Remodelling Machine Learning: An AI That Thinks like a Scientist
Video Jan 21, 2019 | Original Video from Nature Video
Recommended Videos
Video
Having been in the Laboratory Informatics and LIMS Consulting business for quite some time, we at CSols, Inc. have been exposed to many myths and misconceptions. While there may be a small kernel of truth to some of these, for the most part these statements do not hold water. In this video, we listed out the top five myths and “Bust” them.
To personalize the content you see on Technology Networks homepage, Log In or Subscribe for Free
LOGIN SUBSCRIBE FOR FREE