Vector Institute

Hassan Ashtiani - Differentially Private Learning of Distributions

Purang Abolmaesumi - Machine Learning Technologies for Accessible Point of Care Ultrasound

Nicolas Loizou - Next-GenAdaptive Optimization Algorithms for Large-Scale Machine Learning Models

Agustinus Kristiadi - Uncertainty-Guided Optimization on LLM Search Tree

Navigating Careers in AI for Black & Indigenous Students, with Black & Indigenous Leaders

Digital Transformation - FastLane 2.0 - Vector Intern Talks

VLMs for Medical Report Generation and VQA Using CT Scans - Vector Intern Talks

CanDoo: Reshaping Legal Research With AI - Vector Intern Talks

Revolutionizing Investment Analysis: The Next-GenAI Summarization Tool - Vector Intern Talks

FL4Health: Driving Adoption of a Federated Learning Platform - Vector Intern Talks

Reload - Selective Data Forgetting and Replacement - Vector Intern Talks

Partner Portal Search & Recommendation Enhancements - Vector Intern Talks

Getting Ahead and Staying Ahead: Interviewing and Upskilling for Data/AI/ML Roles with Phase AI

Jummy David’s Capstone Presentation:A Comparison of Different ML Models for Predicting Heart Attacks

Shayan Kousha - Integration of AI Models with RPA Frameworks

Multi-Class Detection: Learning Algorithms on Categories of Cyberbullying | Intro to ML for B&I