Multi-agent reinforcement learning (MARL) algorithms play an essential role in solving complex decision-making tasks by learning from the interaction data between computerized agents and (simulated) ...

本文创新性地提出BatteryGPT框架，通过冻结预训练GPT（Generative Pre-trained Transformer）主干网络，仅微调输入嵌入和输出投影层，实现换电站多类型锂离子电池的充电能量预测。该模型引入对比时序嵌入模块压缩多变量序列，并采用时序后缀对齐策略激活LLM（Large ...

人民财讯6月16日电，近日，中控技术凭借自主研发的全球首个流程工业时间序列大模型TPT（Time-series Pre-trained Transformer）的核心技术优势，成功入围中国石油化工股份有限公司（简称“中国石化”）人工智能场景应用项目——“乙烯裂解装置生产运行优化场景 ...

2025年8月28日，中控技术于杭州盛大召开"时序聚能，慧引未来"全球发布会，正式推出流程工业时间序列大模型TPT 2（Time-series Pre-trained Transformer 2）。首月邀请大家一起免费体验。 作为全球首款流程工业时间序列大模型TPT的迭代产品，TPT 2以解决工业生产问题的硬 ...

“The ability of the large language models, and other AI systems to make meaningful contributions to academic work may justify future co-authorship on academic perspective, review and research papers.” ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...