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AIClub 2023 Student Research Symposium

The 2023 symposium featured student AI research and a keynote focused on large-language-model foundations, architecture patterns, and practical future directions.

Keynote Background

Keynote speaker background and program videos from the official 2023 symposium archive.

Keynote Speaker

Ashish Bansal

Role: ML Infrastructure Leader, Google; Author of Advanced NLP

Ashish works on accelerating ML workloads at Google. He has previously worked on recommendation systems and NLP at Amazon/Twitch, Twitter, and Capital One, and has founded startups. He is co-founder of the IIT AI/ML forum and, in this keynote, presented key architectural foundations behind LLM development and future directions.

Keynote and Program Videos

Student Presentation Videos

Student talk videos from the official 2023 symposium archive, embedded inline.

A Machine Learning/Deep Learning Hybrid for Augmenting Teacher-Led Online Dance Education ​ Catherine Hung

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A Machine Learning/Deep Learning Hybrid for Augmenting Teacher-Led Online Dance Education ​ Catherine Hung

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A Novel, AI-based Web App to Detect Benign vs Malignant Oral Lesions from Intraoral Mobile Camera Images ​ Mahima Wuppalapati

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The Multi-Tier Artificial Intelligence Prediction Architecture: A Novel Approach to Intracranial Hemorrhage Detection ​ Shiven Balaji

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Artificial Intelligence Assisted Violin Performance Learning ​ Hannah Zhang

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Artificial Intelligence Assisted Violin Performance Learning ​ Hannah Zhang

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Hydroponic Lettuce: Navigating Nutrient Deficiencies ​ Aisha Risvi

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The Multi-Tier Artificial Intelligence Prediction Architecture: A Novel Approach to Intracranial Hemorrhage Detection ​ Shiven Balaji

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