Amii
Academic research and industrial automation with a focus on scientific rigor and strategic implementation.
Nutrition Label
This channel serves as a bridge between academic theory and industry practice, featuring primary researchers discussing peer-reviewed work rather than third-party commentary. Viewers can expect a distinct split in content: accessible podcasts and case studies that cover high-level strategy, and dense academic seminars that dive into mathematical proofs and architectural specifics.
Strengths
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Notes
- !Seminars provide dense technical proofs, while podcasts and case studies focus on high-level strategy and policy.
- !Case studies often feature the institute's commercial partners, so check descriptions for specific program details.
Why this score
“We present MENSA, a multi-event survival model that jointly learns flexible time-to-event distributions”
Speaker introduces a novel architectural framework (MENSA) developed specifically for this research, demonstrating primary source analysis.
Open receiptTrust Breakdown
Mixed / General Lens: Scored with the default trust weighting.
Confidence pending. Based on 8 long-form videos.
These six Trust Core outputs drive the public creator rating. Communication affects discovery ranking separately. Methodology →
Recent Videos
Endpoint Replay: Compressing the Recency Buffer in Deep Reinforcement Learning
Online Hyperparameter Tuning as an Empirical approach for Reinforcement Learning
Generative Models for Image Inpainting and Editing, and Steering of Multimodal Large Language Models
How AI is Transforming Cancer Care with Amber Simpson | Approximately Correct Podcast
AI Innovation in the North: How Amii's Workshops are Helping NWT Businesses Thrive
AI+X: A Heads-Up Conversation from Amii (Intro)
Poker Table Talks: Amii Researchers Discuss Poker, AI+X, and Business
AI Safety as a Reinforcement Learning Problem
Dendritic Gated Networks for Robust Prosthetic Control under Data Distribution Shifts
Offline-to-Online Learning in Linear Bandits
What AI can teach us about how our brains map our world, with Quinn Lee and Marlos C. Machado
UB2026 | Peter Dürr (Sony AI) | Meet ACE – The Autonomous Robot That Can Beat Table-Tennis Pros!
UB2026 | Levi Lelis | Why We Need to Stop Teaching AI How to Think
UB2026 | Pan-Canadian AI Research Pitch Competition
UB2026 | Real-World AI Learning Experiences in K–12 and Post-Secondary (Panel Discussion)
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