Abstract: Autonomous navigation within complex and dynamic environments remains a critical challenge for Unmanned Aerial Vehicles (UAVs), necessitating precise and computationally efficient path ...

Google says a new compression algorithm, called TurboQuant, can compress and search massive AI data sets with near-zero indexing time, potentially removing one of the biggest speed limits in modern ...

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: Trajectory planning plays a pivotal role in robotic motion planning, particularly in achieving time-optimal motion under complex dynamic constraints. Although the Time-Optimal Path ...