# Neurosymbolic Programming for Science

**URL:** <https://forum.devtalk.com/t/neurosymbolic-programming-for-science/82555>\
**Category:** In The News\
**Tags:** programming, in-the-news\
**Created:** [12 November 2022 14:33 UTC](https://forum.devtalk.com/t/neurosymbolic-programming-for-science/82555 "2022-11-12T14:33:16Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![CommunityNews](https://forum.devtalk.com/user_avatar/forum.devtalk.com/communitynews/32/1113_2.png) [@CommunityNews](https://forum.devtalk.com/u/CommunityNews)\
**Post date:** [12 November 2022 14:33 UTC](https://forum.devtalk.com/t/neurosymbolic-programming-for-science/82555/1 "2022-11-12T14:33:16Z")

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> Neurosymbolic Programming for Science.  
> Neurosymbolic Programming (NP) techniques have the potential to accelerate  
> scientific discovery. These models combine neural and symbolic components to  
> learn complex patterns and representations from data, using high-level concepts  
> or known constraints. NP techniques can interface with symbolic domain  
> knowledge from scientists, such as prior knowledge and experimental context, to  
> produce interpretable outputs. We identify opportunities and challenges between  
> current NP models and scientific workflows, with real-world examples from  
> behavior analysis in science: to enable the use of NP broadly for workflows  
> across the natural and social sciences.

Read in full here:

> **[Neurosymbolic Programming for Science](https://arxiv.org/abs/2210.05050)**
>
> Neurosymbolic Programming (NP) techniques have the potential to accelerate scientific discovery. These models combine neural and symbolic components to learn complex patterns and representations from data, using high-level concepts or known...

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