The Neural Network

Hello Neural Network Listeners! In this week’s episode, we interview Yair Zick, a professor at UMass CICS, with research applying ML algorithms to the fields of game theory and economics. Our conversation explores various exciting concepts, from fair division to what constitutes fairness. Dr. Zick shares thought-provoking responses with excellent analogies and breakdowns of consequential topics. We hope you enjoy Part 1 of our Interview with Dr. Zick, and we hope you tune into Part 2 of our interview as well next week!

Hello Neural Network Listeners! In today's special episode, Armaan and I drift away from Artificial Intelligence and discuss a phenomena unlike no other: the Uncanny. Professionals around the world have struggled to create a concrete definition for the term, so we were delighted to hear the perspectives of our friends to gain larger insight on the topic. Tune in next week for another interview with a remarkable professor! -Vasu and Armaan

In this episode, Armaan and I continue our interview with Dr. Wu on his research. We discuss the intersections of AI with other fields, such as biology, and interdisciplinary collaboration. As a result, we talk about some of his work where he's applied AI/ML to create innovative solutions to tasks in other fields. We hope you enjoy! Tune in next week for an episode on the uncanny.

In this episode, Armaan and I begin to look at something fascinating: the theoretical side of Artificial Intelligence. Learning about a completely different side to AI/ML methods for optimizing the efficiency in these models, we learned the significant impact that theoretical AI might have for future development of an array of models. We hope you enjoy, and look forward to some of our next episodes in the near future (we’re hoping to upload more consistently now that there’s no AP exams and summer break’s on the way!).

This episode is the second part of our interview with Dr. Liu, a professor at WPI specializing in AI/ML, especially in the fields of NLP, text/graph mining, and computational social science. In this part of the interview, we discuss a slew of ML developments and advice for those interested in pursuing similar research. We hope you enjoy, and make sure to tune in next week!

In this episode, we talk to Dr. Xiaozhong Liu, a professor at WPI. His research interests include natural language processing, text/graph mining, and computational social sciences. In this part of the interview, we discuss large language models and their roles and implications in his research and on a broader societal spectrum. We hope you enjoy it, and tune in next week for the second part of the interview!

Hello, Neural Network Listeners! In today's episode, Vasu discusses with Rishith Prathi, a senior at Shrewsbury High School, the impact of Artificial Intelligence, Machine Learning, and Computer Science as a whole. Looking at the various impacts that Computer Science Programs had on Rishith, we discussed challenges, both technical and non-technical, to conceptualize the state of AI and CS. Unfortunately, Armaan was not able to join us for this episode; however, he's looking forward to joining us on our next BIG episode. We also want to apologize for the slightly inconsistent upload date from our previous episode; we're hoping to get back on track with our consistent upload schedule. Stay tuned for our next episode, Vasu and Rishith out!

This episode is the second part of our interview with Dr. Heffernan, a professor at WPI specializing in AI/ML, especially in the fields of education and personalized learning. We highly recommend that you check out our previous episode for a more enjoyable experience in case you haven't. In this part of the interview, we discuss more about ASSISTments as well as other general opinions on the future of AI in education. We hope you enjoy, and make sure to tune in next week!

In this episode, Armaan and I interview Dr. Neil Heffernan, a professor at WPI specializing in AI/ML, specifically in the fields of education and personalized learning. We go into depth about recent developments in AI research, especially LLMs, and also talk about Dr. Heffernan’s biggest project: ASSISTments. The audio quality isn’t the same as usual as the interview was over Zoom, but we hope you enjoy. Make sure to tune in next week for the second part of the interview!

Throughout this episode, Armaan and I discuss with Nihitha Reddy, a senior at Mass Academy, about her extraordinary ML project. Beyond simply just learning about the ML skills that were needed to accomplish the project, she provided excellent insight on important things to consider to make completing a research project enjoyable. Nihitha also discusses a fantastic opportunity that prepared her for this experience: Beaver Works Summer Institute. Aside from the episode, we look forward to consistently uploading in the future, specifically we’re aiming for weekly uploads now that we’ve got more time! Keep on coming back, since we got a BIG episode on the way!