64 related articles

Deep dive into Microsoft's open-source TRELLIS.2 and its core innovation — Native Compact Structured Latents (SLAT) — exploring how it breaks through 3D generation efficiency bottlenecks for gaming, e-commerce, VR, and more.

A detailed guide on acquiring large-scale stereo camera and IMU synchronized datasets, covering KITTI, EuRoC, nuScenes, Waymo, and strategies for combining datasets while avoiding synchronization pitfalls.

Explore RRT co-inventor James Kuffner's career from Cloud Robotics and Google Robotics to Symbotic CTO, driving robots from labs to Walmart warehouse-scale deployment.

Deep analysis of how Google DeepMind's Gemini Robotics 2 empowers Apptronik's Apollo 2 humanoid robot with whole-body intelligence, exploring VLA model breakthroughs and the commercialization outlook for general-purpose robots.

Analysis of three real cyberattack incidents reveals AI's actual capability boundaries in offensive operations, exposing gaps between lab benchmarks and real-world threats for better security assessment.

Investigating three real cyberattack incidents to analyze AI's true role in offensive operations, examining the gap between lab assessments and real threats for better AI security evaluation.

Deep dive into Google DeepMind's Gemini Robotics 2: how whole-body intelligence unifies perception, reasoning, and motor control, and the challenges of bringing embodied AI from lab to commercial deployment.

Deep dive into Google DeepMind's Gemini Robotics 2: how whole-body intelligence unifies perception, reasoning, and motor control, and the challenges from lab demos to commercial deployment.

Deep dive into Google's Gemini Robotics 2 and its three core capabilities: full body intelligence, advanced dexterity, and multi-robot teamwork—achieving universal robot AI with one brain for any robot.

Deep dive into Google's Gemini Robotics 2 and its three core capabilities: full body intelligence, advanced dexterity, and multi-robot teamwork—achieving universal robot AI with one brain for any robot.

Deep analysis of how the mousecrack open-source project uses LSTM neural networks to simulate human mouse trajectories, covering technical principles, training methods, and applications.

In-depth testing of SCAIL 2 video generation AI across character replacement, physics simulation, object permanence, and more—covering reference image prep, ComfyUI workflows, and real results.

Deep dive into the PIRL reinforcement learning framework: how to smoothly transition from open-loop exploration to closed-loop RL, mitigating the exploration-exploitation dilemma and improving sample efficiency.

Global airlines operated over 150,000 flights in a single day, setting a civil aviation record. This article analyzes the drivers, ADS-B tracking technology, high-density airspace challenges, and AI applications in air traffic optimization.

Kimi K3 adopts new architecture with 2.5T parameters and 1M token context. MiniMax M3 Pro targets 2.7-3T. OpenAI surpasses 7M users, HY-OCR 1.5 achieves SOTA, Amap launches world model.

Alibaba open-sources a 2.4 trillion parameter Qwen model and launches the Qwen Token Plan. Chinese models surge, Kimi K3 tops global rankings, and China's AI is reshaping the global competitive landscape.

nuReasoning is an autonomous driving dataset by Motional & UCLA with ~20K long-tail clips annotated for spatial, decision, and counterfactual reasoning, explorable via FiftyOne.

An open benchmark in GreenLight-Gym2 compares four greenhouse controllers, revealing why model-free RL (PPO) underperforms hand-tuned rules and how MPC and hybrid RL-in-MPC approaches can help.

A curated open-source repo of 500+ active AI research tools covers the full workflow—literature review, code reproduction, paper writing, and LaTeX formatting—potentially saving 80% of research time.
AI Agents Accelerate Lightweight USD R…
How AI agents accelerate lightweight OpenUSD runtime development for physical AI — covering spec understanding, code generation, and iterative optimization for robotics and digital twins.