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MIDS outperforms existing intrusion detection systems by over 8 percentage points in identifying sophisticated masquerade attacks on CAN networks, a critical vulnerability in modern vehicles.
Ling-2.6 and Ring-2.6 achieve unprecedented efficiency in agentic intelligence, enabling instant responses and deep reasoning at trillion-parameter scale.
Robot RL training can be dramatically sped up (3-10x) by decoupling CPU-based simulation from GPU-based learning, challenging the assumption that GPU-resident physics is essential for efficiency.
Achieve near-perfect sim-to-real transfer in robotic manipulation by closing the loop between synthetic data generation and robust policy training.
Quadruped robots can now perform contact-rich manipulation with significantly improved dexterity by learning to "feel" their way through tasks.
