基于此，张琦建议，市场各方坚持软硬协同，加快面向AI的软件工程创新突破。在硬件方面，加快国产异构智能算力研发进程，建设自主智算软硬件适配中心，推进自主智算芯片测试和集群验证，争取全面兼容国产训练框架，让“国模—国芯”更好协同。在软件方面，把握世界模型的时间窗口，密切跟踪循环神经网络（RNN）、长短期记忆网络（LSTM）、物理信息神经网络（PINN）、液态神经网络（LNN）等前沿进展，探索混合增强模型等理论和技术创新，实施新一轮面向大模型软件工程，探索有限硬件条件下的模型发展之路。
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