We introduce Ground-Fusion, a low-cost sensor fusion simultaneous localization and mapping (SLAM) system for ground vehicles.
This split representation enables a new class of hardware-focused optimizations that require both structural and control flow information which are crucial for high-level programming models for hardware design.
Programming Languages Hardware Architecture
To address these challenges, we introduce a training framework to transform any general LLM into a ProLLM capable of handling multiple PLP tasks.
Computational Engineering, Finance, and Science Biomolecules
Time delay neural network (TDNN) has been proven to be efficient for speaker verification.
Sound Audio and Speech Processing
Floating-point arithmetic plays a central role in science, engineering, and finance by enabling developers to approximate real arithmetic.
We provide an efficient implementation of the proposed spatio-temporal perception approach, that we call Khronos, and show that it unifies exiting interpretations of short-term and long-term dynamics and is able to construct a dense spatio-temporal map in real-time.
Current large language models (LLMs) excel in response expression; however, they lack the ability to deeply understand emotional and cognitive nuances, particularly in pinpointing fine-grained emotions and their triggers.
As we transform our language teaching and learning practices to account for this disruption, it is important to note that language learning plays a pivotal role in developing human intelligence.
Computers and Society