32 related articles

A U.S. company struck a $100M deal with Ukraine to deploy AI visual lock-on capabilities on 50,000 cheap kamikaze drones, enabling terminal autonomous guidance to defeat electronic warfare jamming.

A deep comparison of three robot learning data collection methods: egocentric, UMI gripper, and teleoperation data — their differences, trade-offs, and applications in embodied AI.

In-depth analysis of 6 IT career tracks: Algorithm Engineer, Large Model Developer, AI+Programming, Embodied Intelligence, FDE, and Intelligent Testing, with probability-based guidance matched to education level.

Mighty SLAM camera board achieves real-time VIO, depth estimation, and 3D obstacle mapping on-device using just one global shutter camera and IMU, offering low-cost autonomous navigation for robots and drones.

The U.S. military lost roughly one-quarter of its drone fleet in conflict operations, exposing vulnerabilities in modern unmanned combat. Analysis of EW threats, AI autonomy bottlenecks, attritable drone trends, and defense tech responses.

Deep dive into iPhone on-device real-time dehazing technology, explaining how atmospheric scattering models restore image details hidden by rain and fog—restoring reality without generating fiction.
The Boundary Between Covert Operations…
Exploring the ethical boundaries of technology in modern intelligence operations, analyzing the attribution problem, the rise of OSINT, and dual-use tech responsibilities.

How Mighty Camera Board achieves real-time SLAM and obstacle avoidance using only a single global shutter camera and IMU, enabling collision avoidance and autonomous navigation for robots and drones.

multicalc is a Rust scientific computing library for real-time embedded systems, supporting no_std/no-alloc/no-panic with Kalman filtering, LQR control, trajectory planning, and MuJoCo integration for ARM Cortex-M and RISC-V bare-metal platforms.

In-depth analysis of Alibaba's Qwen3 series, exploring its multimodal visual understanding, Chinese language capabilities, open-source ecosystem, and impact on developers and the AI industry.

In-depth analysis of AI autonomous combat tanks: reinforcement learning training, environmental perception, decision engines, global military AI competition, and the ethical dilemmas of lethal autonomous weapons systems.

Set up an AI coding workstation on NVIDIA Jetson using VS Code + Claude Code. Covers JetPack NVIDIA Skills, token budget management, headless SSH dev, and coding agent best practices.

A 19-year-old AI learner torn between passion for LLMs and job market pressure. This article breaks down AI Engineering vs. research paths and offers actionable strategies.

Keio University's helium-filled soft flying robots can follow users, wake them up, and act as study buddies. Explore the tech, safety design, and emotional companionship potential.
Computer Vision Career Paths: A Guide …
Is Computer Vision worth pursuing as a career? This guide covers CV job market realities, master's vs. industry tradeoffs, edge deployment skills, and how to transition toward multimodal AI engineering.
Ukraine's Wartime Tech Rise: Drones, D…
How did Ukraine build a wartime tech powerhouse under extreme pressure? An in-depth look at drone iteration, distributed R&D, digital governance, and civil-military tech integration — and what it means for global tech.

NASA's JPL open-sourced the F´ (F Prime) flight software framework: C++-based, component-driven, and validated in real space missions. Ideal for CubeSats, drones, and embedded systems, it has over 11,000 GitHub Stars.

Using an FPV drone RL project as a case study, this guide covers reward shaping principles, Bang-Bang control hacking, module isolation, single-variable debugging, and behavior visualization to solve common RL training issues.

FDE (Forward Deployed Engineer) is the hottest emerging role in the AI deployment wave, combining a technical CTO, full-stack AI engineer, and business consultant. Learn the two FDE tracks, core skills, and how to transition into one.

Plants speak through wilting, yellowing, and spots. This article explores how AI uses computer vision, sensor fusion, and LLMs to translate plant signals into human language, making smart gardening a reality.