Yimu Pan, a doctoral candidate in the College of Information Sciences and Technology at Penn State, will deliver “Cross-Modal Learning and Foundational Models in Medical AI: From Techniques to Applications in Placenta Analysis” as part of CSRAI's Young Achievers Symposium. This lecture is free and open to the Penn State community.

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

At CSRAI, we’re on a mission to investigate issues related to generative AI through a series of exciting hackathons. With our next challenge, we’re turning our attention to understanding how large language models can impact higher education with the Cheat-a-thon!

The Cheat-a-thon challenges university faculty to create questions that are difficult for generative AI to answer. It also challenges students to use generative AI to answer them. Visit the Cheat-a-thon website to see how you can take on the challenge and compete for $10,000 in cash prizes!

Šimon Schierreich, a doctoral student in the Department of Theoretical Computer Science, Faculty of Information Technology, Czech Technical University in Prague, will deliver “Enhancing Refugee Resettlement Outcomes Through Algorithmic Solutions” as part of CSRAI's Young Achievers Symposium.

Qunfang Wu, a Postdoctoral Fellow at the Inequality in America Initiative at Harvard University, will deliver “Designing for Social Equity in Socio-Technical Systems” as part of CSRAI's Young Achievers Symposium.

Diagnose-a-thon aims to uncover the power and potential dangers of using generative AI for medical inquiries. During the virtual event, participants will compete for prizes ranging from $250 to $750 by identifying large language model prompts that produce AI-generated diagnoses that are either accurate or misleading and harmful.