Abstract: Autonomous navigation within complex and dynamic environments remains a critical challenge for Unmanned Aerial Vehicles (UAVs), necessitating precise and computationally efficient path ...
TurboQuant Near-optimal vector quantization for LLM KV cache compression. 3-bit quantization with minimal accuracy loss and up to 8x memory reduction. A Python implementation of the TurboQuant ...
Google has unveiled TurboQuant, a new AI compression algorithm that can reduce the RAM requirements for large language models by 6x. By optimizing how AI stores data through a method called ...
Abstract: This work presents a two-level path planning approach for multi-robot systems considering kinematic constraints. Classical search-based methods for multi-robot path planning simplify robot ...
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