Our Human-Machine Teaming Journey
This post explains how our Cogment-powered human-machine teaming software has evolved over time. We'll also talk about how Cogment teams help protect human safety by leveraging sophisticated machine learning techniques in defense and aerospace contexts. Finally, we'll give you a preview of where we’re planning to take this technology next.
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.”
ALA-Cogment Challenge: Announcing the Results!
From the authors: “We would like to continue working on Cogment and contribute to its open source community because we believe that it’s a promising tool for future research in this area.”
AAMAS 2022: AIR is pleased to welcome you to the ALA-Cogment Challenge!
AIR is proud to support a new contest: the ALA-Cogment Challenge at AAMAS 2022! AAMAS (The International Conference on Autonomous Agents and Multi-Agent Systems) will be held virtually from May 9-13, 2022.
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."
AIR wins 2021 AI TechAward, named Deep Tech Pioneer, featured in AI Québec book
Here are a few highlights of recent recognition that AIR has received: the 2021 AI TechAward for “Best in Open Source AI Technology” (AI Dev World); being named as a Deep Tech Pioneer (Hello Tomorrow Global Summit 2021); and a feature in the AI Québec book project.
Cogment: Our Open-Source Framework for Human-AI Collaboration
"In order to achieve human-AI collaboration, a shared environment where humans and AI agents can operate and train together is warranted; without it, AI agents cannot learn from humans’ reactions to what they are doing. Furthermore, human feedback of various degrees of complexity, human demonstrations, and live operating have all been shown to enhance AI training and results. Until now, however, there was no accessible, unifying technological and design framework to quickly develop, train, and deploy such applications. Cogment was designed to answer these needs."
AI Redefined Leads the Way to More Human-centric AI with Cogment, an Open Source AI Development and Deployment Framework
Press Release: The platform supports previously impossible real-time AI applications to quickly, reliably, and inexpensively support humans at scale, from prototype to operational deployment.