I will be studying pathwise approaches, and combine algorithmic methods (neural networks), to help facilitate a new generation of financial models.

我将研究路径方法，并结合算法方法（神经网络），以帮助促进新一代金融模型。

• 批准号: 2308018
• 金额: --
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2308018
• 关键词: will; studying; pathwise; approaches; combine

Artificial intelligence and machine learning have been growing in the past decades and they have brought about technological advances in several disciplines. These advances coupled with our ability to store ever-growing amounts of data and the increases in computing power has led us to the brink of transformation in our society, whose scale and impact on our lives resembles the cusp of the industrial revolution. The aggregate digital data produced on a daily basis together with the computing powers that are available today make it possible to gain insights and draw conclusions for future decisions that were unthinkable to preceding generations.These possibilities have already induced transformations in several areas and are now starting to transform our financial system. But hand in hand with the far-reaching possibilities comes an array of challenges of how to smoothly incorporate these transformative technologies into a running machinery of financial transactions and routines connected to it.

人工智能和机器学习在过去几十年中一直在发展，它们在多个学科中带来了技术进步。这些进步加上我们存储不断增长的数据量的能力和计算能力的提高，使我们的社会处于转型的边缘，其规模和对我们生活的影响类似于工业革命的尖端。每天产生的数字化数据与当今可用的计算能力相结合，使我们能够获得洞察力，并为未来的决策得出结论，这是前几代人无法想象的。这些可能性已经在几个领域引发了变革，现在正在开始改变我们的金融体系。但是，与这些具有深远意义的可能性携手并进的是一系列挑战，即如何将这些变革性技术顺利地融入到金融交易和与之相关的日常运作机制中。