More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...
Advances in instrumentation, modeling and control are more fully understood and utilized when assisted by first-principle, ...
There’s no doubt the AI-generated code landscape evolved at an unprecedented rate over the last year. The rise of vibe coding, where developers use large language models (LLMs) to generate functional ...
Although technical considerations are normally in the forefront as companies plan automation upgrade projects, cost is often the factor able to outweigh all others. All the wonderful ideas about new ...
Abstract: This work introduces a type-I phase-locked loop (PLL) that combines a wide tuning range (TR) with low jitter is presented. It features: 1) a single-core voltage-controlled oscillator (VCO) ...
This workflow fine-tunes a pretrained language model (such as Llama, OLMo, or Qwen) to follow instructions. It takes a base model and an instruction-following dataset, then trains the model to ...
LIFT (Large-scale pretraIning and efficient FineTuning) is a three-stage framework that bridges scalable simulation pretraining and safe, efficient adaptation for humanoid control: Train Policy: ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results