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d*classified
field notes from the defence tech frontier
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Implicit Semantic Data Augmentation: make your data work harder for you!
Implicit Semantic Data Augmentation: make your data work harder for you!
Senior Principal Engineer (Computer Vision), Eugene Ang, introduces Implicit Semantic Data Augmentation (ISDA), an advanced method to make…
Eugene Ang
Nov 8
Utilizing Generative AI for Reverse Engineering
Utilizing Generative AI for Reverse Engineering
Do you know that Large Language Models (LLMs) can also be used for tasks such as assisting analysts in Malware Reverse Engineering? Join…
d*classified
Nov 8
TartanCalib: Iterative Wide-Angle Lens Calibration using Adaptive SubPixel Refinement of AprilTags
TartanCalib: Iterative Wide-Angle Lens Calibration using Adaptive SubPixel Refinement of AprilTags
Senior Autonomy Engineer, Teng Si Heng, contributed to the development of a cutting-edge, wide-angle lens calibration tool. This tool…
d*classified
Nov 8
Geometry-Informed Distance Candidate Selection for Adaptive Lightweight Omnidirectional Stereo…
Geometry-Informed Distance Candidate Selection for Adaptive Lightweight Omnidirectional Stereo…
Tan Je Hon, Principal Engineer (Autonomy), developed a geometry-informed approach for stereo vision using fisheye images, aimed at…
d*classified
Nov 8
Debuking IT Infrastructure Automation Myths
Debuking IT Infrastructure Automation Myths
Our tech leads, Chen Yaohao & Sim Chey Hock, from the Infocom Infrastructure Programme Centre, reflect on misconceptions about IT…
d*classified
Nov 8
Training Dogfighting Agents with Multi-Agent Reinforcement Learning (Part 1 of 2)
Training Dogfighting Agents with Multi-Agent Reinforcement Learning (Part 1 of 2)
Hey there! Welcome to Part 1 of my Multi-Agent Reinforcement Learning (MARL) series. I’m Ryan Quek, a final-year Industrial Systems…
d*classified
Oct 9
Training Dogfighting Agents with Multi-Agent Reinforcement Learning Part 2 of 2 — additional work…
Training Dogfighting Agents with Multi-Agent Reinforcement Learning Part 2 of 2 — additional work…
Following his first post on Multi-Agent Reinforcement Learning, Ryan Quek shares about making reinforcement learning (RL) policies more…
d*classified
Oct 9
Speed Read: frontiers in Hexapod Robots and what’s holding it back?
Speed Read: frontiers in Hexapod Robots and what’s holding it back?
Hexapod robots are emerging as nimble contenders for tough terrains, thanks to their unique legged architecture. In this brief guide…
d*classified
Oct 9
BrainHack 2024: Learning the Challenges of Fake News Detection and the Importance of Fact-Checking…
BrainHack 2024: Learning the Challenges of Fake News Detection and the Importance of Fact-Checking…
Ong Zong Xian was part of the Organising Committee team for SeeTrue 2024 — Information Programme Centre’s vertical for DSTA’s flagship…
Zong Xian
Oct 3
Overcoming Debugging Challenges to Implement and Evaluate the LiDAR-Assisted UAV Exploration…
Overcoming Debugging Challenges to Implement and Evaluate the LiDAR-Assisted UAV Exploration…
Edmund Ngan shares about his internship at DSTA, where he undertook the task of implementing and troubleshooting the LiDAR-Assisted UAV…
d*classified
Sep 21
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