Enterprises can now train custom AI models from production workflows — no ML team required

Empromptu's Alchemy Models turns enterprise AI application outputs into a fine-tuning pipeline, letting companies own custom ...
IEEE

Data-Driven Distributed Optimization via Aggregative Tracking and Deep-Learning

Abstract: In this paper, we propose a novel distributed data-driven optimization scheme. In particular, we focus on the so-called aggregative framework, namely, the scenario in which a set of agents ...
IEEE

Data-Driven Distributed Iterative Learning Control for Multiple HSTs Under Independent Weighted Communication and Input Saturation

Abstract: Cooperative control of multiple high-speed trains (MHSTs) is considered as a pivotal technology for enhancing the safety and efficiency of train groups. This study investigates the problem ...