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AI for Scientists: Accelerating Discovery through Knowledge, Data and Learning

Offered By: Neurosymbolic Programming for Science via YouTube

Tags

Artificial Intelligence Courses Data Analysis Courses Machine Learning Courses Medical Research Courses Behavioral Neuroscience Courses Neurosymbolic Programming Courses

Course Description

Overview

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Explore a 54-minute conference talk on AI applications in scientific research, focusing on scientist-in-the-loop frameworks that bridge machine learning and real-world use cases. Discover how these models accommodate varying data, analysis tasks, and existing domain knowledge while optimizing expert effort in scientific workflows. Learn about methods for discovering semantically meaningful structure from data and integrating domain knowledge with learning. Gain insights into the speaker's collaborative approach with scientists to accelerate scientific progress through efficient AI-driven techniques.

Syllabus

AI for Scientists: Accelerating Discovery through Knowledge, Data & Learning


Taught by

Neurosymbolic Programming for Science

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