@vectorinstituteai - 366 本の動画
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The Vector Institute is dedicated to the transformative field of artificial intelligence, excelling in machine and deep learning research.
Vector Lecture Series - Aaron Roth
Soroor Motie | The Carbon Cost of Intelligence: How to Build Greener LLM Systems
Aravind Narayanan | HumaniBench: A Human-Centered Evaluation Framework for Multimodal LLMs
Omid Vaheb & Sevda Ebrahimi | LLM-Powered Error Correction to Improve Automatic Speech Recognition
Uche Obinwanne | Making Learning Stick and Insights Click
Vector Lecture Series - Freda Shi
Vector's Remarkable 2025 Recap
Andre Sequeira | Applications of Diffusion Models in Synthetic Data Generation
Timileyin Awolola | AI-Powered Change Management: Insights and Impact from the Vector Institute
Matin Yousefabadi | PM Process Automation: Start Small, Think Big
Sanja Fidler - My Journey in AI | Vector Institute's AI Summit & Career Fair 2024
Felix Dangel | Convolutions & More as Einsum
Amir-Hossein Karimi | Building Bridges: Enhancing Trust in Human-Machine Collaboration
Vector’s 2024 AI Summit & Career Fair Event Recap Video
Getting Hired in AI | Vector Institute's AI Summit & Career Fair 2024
Krish Banerjee - Human by Design: How AI unleashes the next level of potential | Vector AI Summit 24
Amin Karbasi - Generative Models AAA: Acceleration, Application, Adversary | Vector's Remarkable 24
Brendan Frey - BigRNA: A Foundation Model of RNA Biology That Unlocks Drug Discovery | Remarkable 24
Geoff Hinton - Will Digital Intelligence Replace Biological Intelligence? | Vector's Remarkable 2024
AI for Mobility - Panel Discussion | Vector's Remarkable 2024
Beena Ammanath - AI Trust & Safety | Vector's Remarkable 2024
Brian Keng - AI for Financial Services | Vector's Remarkable 2024
AI for Patient Care - Panel Discussion | Vector's Remarkable 2024
Keith Strier & Tony Gaffney - A Global View of AI Adoption | Vector's Remarkable 2024
Getting Hired in AI: Spotlight on Early Careers - Panel Discussion | Vector's Remarkable 2024
Saba Zuberi & Deval Pandya - Navigating a Career in AI | Vector's Remarkable 2024
Cody Coleman - From Journeyman to Master: A Story of Persistence in AI | Vector's Remarkable 2024
Excelling in the AI Job Market: Emerging AI Skills to Land Your Next Opportunity
Victor Zhong - Generalist Language Agents in General Purpose Operating Systems
Mamatha Bhat - Development of Multimodal AI tools to Personalize the Care of Transplant Recipients
Vector Lecture Series - Finale Doshi Velez
Vector Lecture Series - Bernhard Schölkopf
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
Vector Use Case Catalog: A RAG Knowledge Base Implementation - Vector Intern Talks
Vector for Canada: The Future of AI Leadership
Vector Faculty Affiliate Talk - April Khadeni
Vector Faculty Affiliate Talk - Nisarg Shah
Vector Lecture Series - Anima Anandkumar
Prompt Engineering Lab - Vector Intern Talks
Fine Tuning and Alignment for Large Language Models - Vector Intern Talks
Interpretability and Bias Identification in LMs - Vector Intern Talks
Partial Weight Exchange in Federated Learning - Vector Intern Talks
Public Health and Fairness Evaluation using ML Models on Clinical Notes - Vector Intern Talks
Digital Booklet: Anomaly Detection - Vector Intern Talks
Odyssey: A Toolkit to Build Foundation Models Using Electronic Health Records - Vector Intern Talks
Identifying Attack Campaigns from Network Alerts - Vector Intern Talks
Vector Lecture Series - Elliot Paquette
Vector Visitor Talk - Neil Lawrence
The Vector Institute - AI can be Remarkable
Vector Lecture Series - Renjie Liao
Planning Your Path: How To Become a Leader in Data & AI - Full Webinar
Planning Your Path: How To Become a Leader in Data & AI - Frameworks and Strategies
Planning Your Path: How To Become a Leader in Data & AI - Hiring Trends for 2024
Planning Your Path: How To Become a Leader in Data & AI - Panel Discussion
Planning Your Path: How To Become a Leader in Data & AI - Long-Term Planning for AI/ML Careers
Communication Channels of AI Explanations - Vector's NLP Workshop
Long form evaluation of Model Editing - Vector's NLP Workshop
TIGERScore:Towards Building Explainable Metric for All Text Generation Tasks - Vector's NLP Workshop
VectorLM Optimizing LLM Workloads on Vector Compute - Vector's NLP Workshop
Natural Language Processing for Users from Diverse Cultures - Vector's NLP Workshop
Quis custodiet ipsos custodes? - Vector's NLP Workshop
Computational Multilingualism in the Era of Large Language Models - Vector's NLP Workshop
Remarkable 2024 Recap: Unveiling the Future of AI
Vector Lecture Series - Colin Raffel
Identifying and Mitigating Climate Change Challenges Using Computer Vision - Vector Intern Talks
Vector Lecture Series - Geoff Pleiss
Structured QA Generation with Large Language Models - Vector Intern Talks
Generative AI: Threats, Opportunities & the role of Industry-Academia Collabs - Vector Intern Talks
Differentially Private Federated Machine Learning for Health Science - Vector Intern Talks
Generative AI for Serious Business - Vector Intern Talks
An ML Solution for Automated Prior Learning Assessment and Recognition - Vector Intern Talks
Applications of Infinitesimals to Open Problems in Stat Decision Theory -Vector's ML Theory Workshop
Spectral alignment for high dimensional SGD - Vector's Machine Learning Theory Workshop
Models of adversaries - Vector's Machine Learning Theory Workshop
Characterizing PAC learnability beyond binary classification - Vector's ML Theory Workshop
Neural Networks in the Limit of Infinite Depth-and-Width - Vector's Machine Learning Theory Workshop
Feature Learning in Two layer Neural Networks - Vector's Machine Learning Theory Workshop
Statistical Estimation with Privacy Constraints - Vector's Machine Learning Theory Workshop
Settling the private learnability of unrestricted GMMs - Vector's Machine Learning Theory Workshop
Vector Faculty Affiliate Talk - Kuldeep Meel
Key Skills and Upskilling for Data & AI Roles
Recent Trends in AI
Mastering Technical Interviews for AI Roles
Panel Discussion with AI Hiring Managers from Cohere & OMERS
Vector Lecture Series - Gautam Kamath
Vector Visitor Talk - Jason Hartford
AI Project Management at Vector - Vector Intern Talks
Special Vehicle Identification on HOV Lanes – InvisionAI - Vector Intern Talks
AI's Green Lens: Translating Climate Change Insights into Business Strategy - Vector Intern Talks
Soroor Motie | The Carbon Cost of Intelligence: How to Build Greener LLM Systems
44 回視聴 - 5 日前
Aravind Narayanan | HumaniBench: A Human-Centered Evaluation Framework for Multimodal LLMs
26 回視聴 - 5 日前
Omid Vaheb & Sevda Ebrahimi | LLM-Powered Error Correction to Improve Automatic Speech Recognition
34 回視聴 - 5 日前
Andre Sequeira | Applications of Diffusion Models in Synthetic Data Generation
190 回視聴 - 4 か月前
Timileyin Awolola | AI-Powered Change Management: Insights and Impact from the Vector Institute
99 回視聴 - 4 か月前
Sanja Fidler - My Journey in AI | Vector Institute's AI Summit & Career Fair 2024
800 回視聴 - 4 か月前