AI Resources: Research, Papers, Studies

AI Resources: Research, Papers, Studies

General Academic Search Engines

These platforms index a vast array of scholarly articles across multiple disciplines, making them essential for discovering AI-related research.

  • Google Scholar : A widely-used search engine for scholarly literature across various fields, including AI.
  • Semantic Scholar: An AI-powered academic search engine that focuses on enhancing the discovery of research papers.
  • Microsoft Academic: A comprehensive academic search engine powered by Microsoft’s AI.

Open-Access Repositories

These repositories provide free access to preprints, published papers, and other research materials.

  • arXiv: A preprint server for computer science, physics, mathematics, and more, frequently used for AI research.
  • bioRxiv: A preprint server for biology, often including AI applications in bioinformatics.
  • SSRN (Social Science Research Network): A repository for social sciences, including AI ethics, policy, and legal studies.
  • TechRxiv: A preprint server focused on engineering and computer science, with a significant amount of AI-related content.
  • HAL: A French open-access repository for scholarly papers across disciplines, including AI.
  • Zenodo: An open-access repository that allows researchers to share datasets, software, and research papers, including AI projects.

Professional Digital Libraries

These platforms host peer-reviewed journals, conference proceedings, and other academic publications, often requiring a subscription or institutional access.

  • IEEE Xplore: Access to IEEE publications, including top journals and conference papers in AI and machine learning.
  • ACM Digital Library: Provides access to papers and proceedings from the Association for Computing Machinery, covering AI and computer science.
  • SpringerLink: Hosts a large collection of AI research articles published by Springer.
  • Wiley Online Library: Offers access to AI research papers across various fields.
  • Elsevier ScienceDirect: Provides access to a wide range of AI research articles from Elsevier journals.
  • Taylor & Francis Online: Access AI research across various disciplines published by Taylor & Francis.
  • JSTOR: A digital library of academic journals, books, and primary sources, including AI research.
  • SAGE Journals: Provides access to a range of journals, including those focused on AI and data science.

Specialized Journals and Conferences

These journals and conferences are specifically focused on artificial intelligence, machine learning, and related fields.

Social Networks and Research Sharing Platforms

These platforms allow researchers to share their publications, collaborate, and access a variety of AI-related content.

  • ResearchGate: A social networking site for scientists to share research papers and collaborate.
  • Academia.edu: A platform for academics to share research papers, including AI studies.
  • Mendeley: A reference manager that also serves as a platform for discovering and sharing research papers.
  • Figshare: A repository where researchers can share datasets, papers, and figures.
  • Authorea: A collaborative platform for researchers to write, share, and publish research papers.

Organizational Blogs and Publication Sites

These sites belong to leading AI research organizations, offering access to their latest research papers, technical reports, and blog posts.

Specialized Publisher Platforms

These platforms provide access to journals and books from specific academic publishers, often featuring comprehensive collections in AI.

  • MIT Press Direct: Journals like Journal of Machine Learning Research (JMLR) and Neural Computation.
  • Cambridge University Press: Access journals such as Artificial Intelligence for Engineering Design, Analysis and Manufacturing.
  • Oxford Academic: Access AI-related journals published by Oxford University Press.
  • SpringerLink: Access to AI-related books, chapters, and papers.
  • Elsevier ScienceDirect: Offers AI research articles across various journals and books.

Datasets and AI Tools Repositories

These platforms provide datasets and tools that are essential for conducting AI research and development.

  • Kaggle Datasets: A collection of datasets for machine learning and AI projects.
  • UCI Machine Learning Repository: A repository of datasets for machine learning and AI.
  • OpenML: An online platform for sharing and finding machine learning datasets.
  • Data.gov: A U.S. government website providing access to various datasets, some of which are relevant for AI research.
  • Hugging Face Datasets: A platform offering a wide range of datasets for natural language processing and machine learning.
  • Papers with Code: Links to research papers along with their code implementations and datasets.
  • TensorFlow Hub: A repository of pre-trained machine learning models.
  • PyTorch Hub: Pre-trained models and tools for deep learning.

AI Ethics and Policy Research

These resources focus on the ethical, social, and policy implications of AI.

Educational Resources and Courses

These platforms offer online courses, tutorials, and educational content to help users learn more about AI.

  • Coursera: Online courses on AI and machine learning, including programs from universities like Stanford and institutions like DeepLearning.AI.
  • edX: Free and paid courses on AI and related fields from institutions like MIT and Harvard.
  • Udacity: Offers nanodegrees in AI, machine learning, and data science.
  • Fast.ai: Free online courses focused on deep learning and AI, using practical, hands-on approaches.
  • Kaggle Learn: Free tutorials on data science, machine learning, and AI.
  • MIT OpenCourseWare: Free courses on AI, machine learning, and computer science from MIT.

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