Abstract: Taking the complex routes of actual metro operations as the research subject, the specific operational patterns of trains to construct an energy-saving optimized control model for train ...
A Low-Power ABR Characteristic Waveform Automatic Detection Algorithm Design and FPGA Implementation
Abstract: Portable, low-power ABR characteristic waveform automatic identification devices have broad application prospects in clinical and scientific research. This paper proposes an FPGA-based ABR ...
The UC Berkeley crew has now shown the value of AI-based optimization work by having OpenEvolve work out a more efficient approach to load balancing across GPUs handling LLM inference.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback