3 papers
cs.AI2026
Agents' Last Exam
Yiyou Sun, Xinyang Han, Weichen Zhang +378
Recent AI systems have achieved strong results on a wide range of benchmarks, yet these gains have not translated into economically meaningful deployment across many professional d…
cs.LG2025
A temporal scale transformer framework for precise remaining useful life prediction in fuel cells
Zezhi Tang, Xiaoyu Chen, Xin Jin +2
In exploring Predictive Health Management (PHM) strategies for Proton Exchange Membrane Fuel Cells (PEMFC), the Transformer model, widely used in data-driven approaches, excels in…
eess.SY2024
Tuning the feedback controller gains is a simple way to improve autonomous driving performance
Wenyu Liang, Pablo R. Baldivieso, Ross Drummond +1
Typical autonomous driving systems are a combination of machine learning algorithms (often involving neural networks) and classical feedback controllers. Whilst significant progres…