Published
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.
Read more at https://www.nature.com/articles/s42256-018-0005-0
7th January 2019
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.
Read more at https://www.nature.com/articles/s42256-018-0005-0
7th January 2019
- Category
- Academic
Sign in or sign up to post comments.
Be the first to comment
Up Next
Autoplay
-
01:38
Autonomous Security and Machine Learning
-
10:39
Learning How To Use A Vending Machine ????????????????
-
01:04
AI and Machine Learning Help Fight Attackers' Machines
-
41:18
Music and Machine Learning (Google I/O'19)
-
21:58
"BE a Continuous LEARNING Machine!" | Charlie Munger | Top 10 Rules
-
00:50
Learning Scientist Manu Kapur on Making Space for Students to Struggle
-
35:42
Design, machine learning, and creativity (Google I/O '18)
-
00:47
Robot uses machine learning to harvest lettuce
-
43:17
AI and Machine Learning in Medicine with Jonathan Chen
-
25:58
Project Magenta: Music and Art with Machine Learning (Google I/O '17)
-
11:29
Larry Ellison on Machine Learning, Automation, and Cloud ERP
-
09:43
Probabilistic Machine Learning in TensorFlow
-
10:18
Learning How To Use A Vending Machine ????????????????
-
07:25
Predicting Flight Delays: Using Machine Learning
-
50:55
Human Learning, After Machine Learning Panel
-
37:06
Machine Learning APIs by Example (Google I/O '17)
-
11:37
Accessible Machine Learning with Tensor2Tensor
-
08:12
I/O '18 Guide - Machine Learning
-
01:04
AI and Machine Learning Help Fight Attackers' Machines
-
32:35
Machine Learning with TensorFlow (GDD Europe '17)
-
09:24
Getting Started with Weka - Machine Learning Recipes #10
-
10:43
Learning How To Use A Vending Machine ????????????????????
