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TraversRL transforms pedestrian pathway generation by modeling it as a sequential decision-making process, yielding more reliable networks than traditional segmentation methods.
Ling-2.6 and Ring-2.6 achieve unprecedented efficiency in agentic intelligence, enabling instant responses and deep reasoning at trillion-parameter scale.
RATrain achieves a remarkable 1.35x end-to-end speedup for LLM training on bandwidth-limited supercomputers, challenging the notion that high-bandwidth environments are necessary for efficiency.
LLM inference on supercomputers doesn't have to be a bottleneck: THInfer achieves up to 84% higher throughput than A800 GPUs by co-designing hardware-aware kernels and a communication-optimized pipeline.
You can achieve near-optimal data retention in machine unlearning scenarios without needing to know individual user privacy preferences, sidestepping GDPR compliance challenges.
