AI Tools and Best Practices: Library Resources for AI

• Artificial Intelligence (Elsevier)
• Artificial Intelligence in Medicine (Elsevier)
• Progress in Artificial Intelligence (Springer)
• Nature Machine Intelligence (Springer)
• Journal of Artificial Intelligence Research (ACM)
• ACM Transactions on Intelligent Systems and Technology (ACM)
• IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE)
• IEEE Transactions on Artificial Intelligence (IEEE)
• IEEE Transactions on Neural Networks and Learning Systems (IEEE)

(NOTE: Penn subscribes to many, many more AI-related journals, which are aggregated on BrowZine. Click here to view them.)

• Artificial Intelligence Basics: A Non-Technical Introduction (Taulli, 2021)
• Artificial Intelligence: A Modern Approach, 4th Edition (Russell & Norvig, 2021)
• Deep Learning for Coders with fastai and PyTorch (Howard, 2020)
• Human Compatible: Artificial Intelligence and the Problem of Control (Russell, 2019)
• Deep Learning (Goodfellow, Bengio, and Courville, 2016)
• How AI Works (Kneusel, 2023)
• Machine Learning with PyTorch and Scikit-Learn (Raschka, Liu, and Mirjalili, 2022)

For more AI-related resources at the library, click here.

• Scopus (Elsevier)
• ACM Digital Library (ACM)
• IEEE Xplore (IEEE)
• ScienceDirect (Elsevier)
• SpringerLink (Springer)
• Wiley Online Library (Wiley)

While it is still quite new and therefore does not yet have a large body of literature, Penn Libraries has several resources related to OpenAI's API, including:

• Unleashing the Power of ChatGPT: Real World Business Applications
• OpenAI API Cookbook: Build Intelligent Applications Including Chatbots, Virtual Assistants, and Content Generators
• Building AI Applications with ChatGPT APIs: Master ChatGPT, Whisper, and DALL-E APIs by Building Ten Innovative AI Projects

We also provide a campus-wide license to LinkedIn Learning, which includes relevant content and trainings for OpenAI and other AI applications.