Applications of Computer Vision in Defense: Securing Borders and Countering Terrorism
This blog explores computer vision applications in defense, particularly how it is enhancing border security and countering terrorism across different nations.
Best Practices for Synthetic Data Generation in Generative AI
In this blog, we’ll break down the best practices for synthetic data generation in generative AI and dive into the challenges and best practices that define its responsible use. We’ll also examine real-world use cases across industries to illustrate how synthetic data is being leveraged today.
Building Better Humanoids: Where Real-World Challenges Meet Real-World Data
In this blog, we explore how humanoid robots are moving from lab prototypes to real-world deployment. We also highlight how leading teams use curated scenarios and HITL review to train adaptable, safe robots, bridging the gap between promising demos and scalable, real-world performance.
Prompt Engineering for Defense Tech: Building Mission-Aware GenAI Agents
This blog explores how prompt engineering for defense tech is becoming the foundation of national security. It offers a deep dive into techniques for embedding context, aligning behavior, deploying robust prompt architectures, and ensuring outputs remain safe, explainable, and operationally useful, and discusses real-world case studies.
Semantic vs. Instance Segmentation for Autonomous Vehicles
This blog explores the role of Semantic and Instance Segmentation for Autonomous Vehicles, examining how each technique contributes to vehicle perception, the unique challenges they face in urban settings, and how integrating both can lead to safer and more intelligent navigation systems.
Real-World Use Cases of RLHF in Generative AI
This blog explores real-world use cases of RLHF in generative AI, highlighting how businesses across industries are leveraging human feedback to improve model usefulness, safety, and alignment with user intent. We will also examine its critical role in developing effective and reliable generative AI systems and discuss the key challenges of implementing RLHF.
Insights from DDD’s Roundtable at Autosens US 2025
DDD brought together Autonomy industry leaders for a high-impact roundtable focused on a problem we are all struggling with: collecting meaningful, high-quality data from sensors and cameras.
How to Conduct Robust ODD Analysis for Autonomous Systems
This blog provides a technical guide to conducting robust ODD analysis for autonomous driving, detailing how to define, structure, validate, and evolve an Operational Design Domain using formal taxonomies, scenario-based testing, coverage metrics, and integration to ensure the safe and scalable deployment.
Facial Recognition and Object Detection in Defense Tech
This blog explores how facial recognition and object detection in the defense and federal/government sectors are transforming surveillance, threat detection, and decision-making. While also navigating challenges and recommendations, shaping their deployment.
Real-World Use Cases of Retrieval-Augmented Generation (RAG) in Gen AI
This blog explores the real-world use cases of RAG in GenAI, illustrating how Retrieval-Augmented Generation is being applied across industries to solve the limitations of traditional language models by delivering context-aware, accurate, and enterprise-ready AI solutions.
Geospatial Data & GEOINT Use Cases in Defense Tech and National Security
This blog explores geospatial data & GEOINT use cases in defense tech and national security, highlighting how these technologies are driving recent innovations and operational strategies.
In-Cabin Monitoring Solutions for Autonomous Vehicles
This blog explores in-cabin monitoring solutions for autonomous vehicles and highlights the key functions, critical technologies driving their development.