New to ASU? ASU Library is here to help.

Get to know Hayden Library and discover how the library can support you throughout your time at ASU. Whether you're looking for a place to study, wondering where to start your first research assignment or simply curious about what the library has to offer, this tour is for you.

New to ASU? ASU Library is here to help.

Get to know Hayden Library and discover how the library can support you throughout your time at ASU. Whether you're looking for a place to study, wondering where to start your first research assignment or simply curious about what the library has to offer, this tour is for you.

New to ASU? ASU Library is here to help.

Get to know Hayden Library and discover how the library can support you throughout your time at ASU. Whether you're looking for a place to study, wondering where to start your first research assignment or simply curious about what the library has to offer, this tour is for you.

ASU Library is here to help make college a little easier for you. Visit on Library Day to discover all the things you can make, learn and do at the library. 

When you need to find a place to study, get help with research, take a creative break or just spend time between classes, there's a place for you here.

Stop by to explore library spaces, meet librarians, archivists and staff, pick up some swag and discover resources that can make college a little easier. We'll help you find your way, answer your questions and show you what's available.

From movie recommendations and online shopping to fraud detection and social media feeds, clustering algorithms are everywhere in our everyday lives. These algorithms help identify patterns, group similar information, and uncover relationships hidden within large amounts of data. Join ASU Library's Unit for Data Science and Analytics for an interactive lab to explore how clustering works and why it is still one of the most widely used techniques in modern data analysis.

From virtual assistants and chatbots to AI search engines and recommendation systems, large language models (LLMs) seem to be ubiquitous in our daily interactions with technology. But how do these systems actually generate responses, answer questions, and retrieve knowledge? Join ASU Library's Unit for Data Science and Analytics for the second session of this foundational mini-series as we explore the ideas behind modern generative AI systems.

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