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Research Guides

AI

Welcome
Hello and welcome to the AI Research Guide! You will find information on how to get started with your AI research along with available resources at the University of Miami Libraries and beyond. Click on the different tabs at the top of the guide to learn more on each topic. This guide is not exhaustive and if you find resources you think would be a great addition or if you have questions please email me.
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Computer Science
Robotics
Subject Specialist

Erica Newcome

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Email: askalibrarian@miami.edu
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Databases
  • ACM Digital Library
    Full-text access to a variety of journals and conference proceedings published by the Association for Computing Machinery.
  • CiteSeerX
    An evolving scientific literature digital library and search engine that has focused primarily on the literature in computer and information science.
  • IEEE Xplore Digital Library
    Full-text access to journals, conference proceedings and active standards published by IEEE and IET.
  • Knovel Library
    An online reference shelf including handbooks, dictionaries and datasets covering the full range of engineering disciplines; also includes biochemical, biology and chemistry reference resources.
  • SCOPUS
    Scopus also covers 250 million quality web sources, including 13 million patents.
  • Web of Science Citation Indexes
    Multi-disciplinary database that provides integrated access to over 8,000 key research journals indexed in: Science Citation Index Expanded, Social Science Citation Index, and Arts and Humanities Citation Index.
eJournals
Datasets
  • UCI Machine Learning Repository
    Collection of databases, domain theories, and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms.
  • OpenML
    sable. OpenML is an open platform for sharing datasets, algorithms, and experiments - to learn how to learn better, together.
  • OpenML
    Machine learning research should be easily accessible and reusable. OpenML is an open platform for sharing datasets, algorithms, and experiments - to learn how to learn better, together.
  • StateOfTheArt.ai​
    An open-data and free platform built by the research community to facilitate the collaborative development of AI.

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