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!

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!

Join Romit Maulik, assistant professor at the Penn State College of Information Sciences and Technology, for an upcoming talk as part of CSRAI's AI for Social Impact Seminar Series. This lecture is free and open to the Penn State community.