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Learn more about how DDD supports projects in Computer Vision and Natural Language Processing for innovative Autonomous Driving, Agricultural Technology, Robotics, and more.
Read our case studies on successful projects in content conversion and digitization for Cultural Heritage organizations, National Libraries, Museums, and more.
Managing Large Data efficiently with scalable data annotation solutions
Autonomous driving relies on large datasets for training ADAS models to perceive and interact with their environment. Here’s how our scalable data annotation solutions efficiently manage this data.
Optimizing AI models for real-world ad/adas perception using hitl
This whitepaper explores how human-in-the-loop (HITL) processes power AI-enhanced perception and prediction for autonomous driving and help AD/ADAS systems become safer, more robust, and ultimately more reliable.
Leveraging Digital Twins for ADAS Excellence with Insights on Data Management
This whitepaper examines the sophisticated techniques and implementation strategies behind AI, digital twins, and simulation in AD/ADAS development.
THE ETHICAL ANNOTATION Playbook for Autonomous driving vehicles
Drawing from the latest research, real-world case studies, and hard-won industry insights, this ebook offers a comprehensive framework for managing bias and implementing trustworthy AI in AV development.
The Evolution of Human-in-the-Loop in Artificial Intelligence and Machine Learning
This white paper explores how emerging AI paradigms such as generative agents, world models, and prompt-based zero-supervision learning are redefining the boundaries of human involvement in these domains.
Agentic AI and Its Impact on Human-in-the-Loop Systems
This whitepaper explores how the rise of agentic AI is transforming traditional AI workflows by shifting from narrow task execution to autonomous goal pursuit.
How AI Facilitates Mass Digitization of Large Document Archives & Records?
The white paper highlights the challenges of mass digitization how AI-powered OCR, NLP, and image recognition address these issues.
How AI-Human Collaboration Transforms Historical Records into Digitized Knowledge?
The white paper highlights the technologies driving this transformation, and considers the benefits, challenges, and future directions of humancentered AI.
The Future of Autonomy Testing: Sensor Simulation, Mixed Reality, and Generative World Models
As autonomous systems mature, the industry is realizing that collecting real-world miles alone cannot deliver the depth, diversity AI.