Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.

T-Mobile, Nokia, and Nvidia agree on where AI and wireless are converging, but not on the compute architecture to get there The “AI RAN” label has become a bit of a catch-all — AI for RAN, AI on RAN, ...

RLightning is a reinforcement learning framework designed for embodied intelligence — from humanoid locomotion to robotic manipulation. Its core principle is "prototype locally, scale seamlessly": ...

Given that extreme weather disturbances frequently threaten the safe and stable operation of new power systems, the uncertainty of source–load forecasting has become a particular bottleneck affecting ...

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Abstract: The current Internet struggles to meet the deterministic transmission requirements in terms of end-to-end delay. Time-sensitive networking (TSN) provides a solution by offering deterministic ...

NanoFlow is a throughput-oriented high-performance serving framework for LLMs. NanoFlow consistently delivers superior throughput compared to vLLM, Deepspeed-FastGen, and TensorRT-LLM. NanoFlow ...

The level of detail (LOD) modelling of vector and terrain data is individual, resulting in geometric and topological inconsistencies in simplification processes. The three dimension Douglas Peucker ...

A 26% increase in frame rates from your CPU sounds far-fetched. If that’s not enough to catch the attention of PC gamers, I don’t know is. But trust me — according to my own testing — that’s exactly ...