In this blog, we discuss why a data-centric approach is critical for defense AI, how it contrasts with traditional model-centric development, and explore recommendations for shaping the future of mission-ready intelligence systems.
This blog explores the current landscape of autonomous fleet management, highlighting the core challenges, strategic approaches, and real-world implementations shaping the future of mobility.
This blog explores how to build robust safety evaluation pipelines for Gen AI. Examines the key dimensions of safety, and infrastructure supporting them, and the strategic choices you must make to align safety with performance, innovation, and accountability.
This blog explores why multilingual data annotation is uniquely challenging, outlines the key dimensions that define its quality and value, and presents scalable strategies to build reliable annotation pipelines.
This blog explores semantic segmentation in detail, focusing on the most pressing challenges, the latest advancements in techniques and architectures, and the real-world use cases where these systems have the most impact.
This blog explores how AI and geospatial data are being used for autonomous defense systems. It examines the core technologies involved, the types of autonomous platforms in use, and the practical applications on the ground. It also addresses the ethical, technical, and strategic challenges that must be navigated as this powerful integration reshapes military operations worldwide.
This blog explores multi-modal data annotation for autonomy, focusing on the synchronization of LiDAR, RADAR, and camera inputs. Practical techniques for fusing and labeling data at scale highlight real-world applications, fusion frameworks, and annotation best practices.
In this blog, we will explore synthetic data for computer vision, including its creation, application, and the strengths and limitations it presents. We will also examine how synthetic data is transforming the landscape of computer vision training using real-world use cases.
This blog explores the most impactful and innovative use cases of computer vision in retail and e-commerce environments. Drawing from recent research and real-world deployments, it highlights how companies are leveraging computer vision AI technologies.
Pittsburgh witnessed a gathering of Autonomy industry leaders as the Physical AI: Accelerating Concept to Commercialization panel unfolded, hosted by the Pittsburgh Robotics Network and presented and moderated by Digital Divide Data (DDD).
This blog explores the systemic, operational, and technological challenges in scaling autonomous fleet operations from limited pilots to full-scale deployment, and outlines the best practices and emerging solutions that can enable scalable, reliable, and safe autonomy in real-world environments.
This blog explores a comprehensive framework for evaluating generative AI models by focusing on three critical dimensions: accuracy, safety, and fairness, and outlines practical strategies, tools, and best practices to help organizations implement responsible, multi-dimensional assessment at scale.
