Not all sources are created equal: Explicit vs implicit feedback in Machine Learning
With so many factors at play, no wonder it’s difficult to know which type of feedback will provide the best results to a given AI system! We help you gain that understanding by exploring the key differences, advantages and challenges of both techniques.
AI Redefined x Mila: Announcing Our New Strategic Partnership!
“AI Redefined is proud to be part of the Montreal AI ecosystem. Our partnership with Mila will enable us to help fuel new research to democratize important AI training methods like multi-agent reinforcement learning – all in our home city,” noted Dorian Kieken, the President of AIR.
World Summit AI 2022: Highlights from our Fireside Chat
Kieken: “What are the barriers to entry in doing human-machine collaboration?” Taylor: “The first barrier, I think, is making sure that people know that this is a technology that’s ready to be deployed. It’s not sci fi. It’s not just in the lab basement. It’s actually useful.”
Human-Involved AI in Real Time: What it’s Like to Train with Cogment
"Human interactions and continuous adaptation - all within the Cogment platform - ensure that AIR’s customers don't have to spend years of engineering efforts to make solutions possible. We call our approach human-involved AI."
Human – AI Teaming to Fight Wildfires
“Today’s post focuses on one of the most distinctive features of Cogment: its ability to offer continuous human training alongside machine agents in real and simulated contexts.”
Human-AI Collaboration: Cogment’s Blueprint for Efficient & Steerable AI
"We at AI Redefined (AIR) are driven by a desire to move human-AI interactions toward a safer and more efficient collaboration model. We think that humans and AI agents should be able to explore context, identify a shared worldview, and work together to bring that worldview into being."