人工智能产业化流程及其应用

Process and Application of Artificial Intelligence Industrialization

人工智能作为当今世界上最重要的科技之一,已融入人们生产生活的各个方面。人工智能产业繁荣发展离不开数据的驱动、算法的创新、算力的提升与场景的融合。大数据、算法、计算能力、场景与产品化之间正在形成一种共生生态,大数据为人工智能提供源源不断的动力,人工智能衍生出了诸如深度学习、强化学习、迁移学习、对抗学习(GAN)等新型算法,硬件计算能力提升有效地缩减了算法迭代改进周期。本文介绍了AI技术落地算法研发基本流程,研究了AI技术的应用,以供参考。

As one of the most important technologies in the world today artificial intelligence, has been integrated into all aspects of people’s production and life. The prosperity and development of the artificial intelligence industry is inseparable from the drive of data, the innovation of algorithms, the improvement of computing power and the integration of scenarios. There is a symbiotic ecology between big data, algorithms, computing power, scenarios and productization, big data provides continuous power for AI, artificial intelligence has derived new algorithms such as deep learning, reinforcement learning, transfer learning, and adversarial learning(GAN), the improvement of hardware computing power effectively reduces the iterative improvement cycle of the algorithm. This article introduces the basic process of AI technology landing algorithm research and development, studied the application of AI technology, for reference.