The Alan Turing Institute 22/23 - Core and Additional Funding

艾伦图灵研究所 22/23 - 核心和额外资金

• 批准号: EP/X03870X/1
• 负责人: Adrian Smith
• 金额: $ 2145.88万
• 依托单位: The Alan Turing Institute
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FX03870X%2F1
• 关键词: Alan; Turing; Institute; 22; 23

The Alan Turing Institute, as the UK's national institute for data science and artificial intelligence, plays an important part in driving forward advances in these technologies in order to change the world for the better.The Institute is named in honour of Alan Turing, whose pioneering work in theoretical and applied mathematics, engineering and computing is considered to have laid the foundations for modern-day data science and artificial intelligence. The Institute's goals are to undertake world-class research, apply its research to real-world problems, driving economic impact and societal good, lead the training of a new generation of scientists, and shape the public conversation around data and algorithms.After launching in 2015 with government funding from EPSRC and five founding universities, the Institute has grown an extensive network of university partners from across the UK and launched a number of major partnerships with industry, public and third sector. Today it is home to more than 500 researchers, a rapidly growing team of in house research software engineers and data scientists and a business team.Following its initial phase of funding, EPSRC provided a short-term commitment to ensure the continuity of core activity in the current model. Since then, EPSRC has been working with the Institute, and across UKRI, to develop the Institute's role at the centre of a potential UKRI National AI Programme. As part of the transition into this role, EPSRC are providing additional funding in 2022/23 to allow the Institute to build the foundations of Turing 2.0 and invest in activities that support the evolution of the Turing to a more open, national Institute in data science and AI.

艾伦·图灵研究所是英国国家数据科学和人工智能研究所，在推动这些技术的进步以改善世界方面发挥着重要作用。该研究所以艾伦·图灵命名，他在理论和应用数学方面的开创性工作，工程和计算被认为为现代数据科学和人工智能奠定了基础。该研究所的目标是开展世界一流的研究，将其研究应用于现实世界的问题，推动经济影响和社会公益，领导新一代科学家的培训，并塑造围绕数据和算法的公共对话。在2015年由EPSRC和五所创始大学的政府资助后，该研究所已经发展了一个广泛的网络，来自英国各地的大学合作伙伴，并推出了一些与工业，公共和第三部门的主要合作伙伴关系。如今，它拥有500多名研究人员，一个快速增长的内部研究软件工程师和数据科学家团队以及一个业务团队。在最初的资助阶段之后，EPSRC提供了一个短期承诺，以确保当前模型中核心活动的连续性。从那时起，EPSRC一直在与该研究所以及整个UKRI合作，以发展该研究所在潜在的UKRI国家AI计划中的作用。作为向这一角色过渡的一部分，EPSRC将在2022/23年度提供额外资金，以使研究所能够建立图灵2.0的基础，并投资于支持图灵向更开放的国家数据科学和人工智能研究所发展的活动。

项目成果

Computational Modelling Enabling In Silico Trials for Cardiac Physiologic Pacing.

计算模型支持心脏生理起搏的计算机模拟试验。

• DOI: 10.1007/s12265-023-10453-y
• 发表时间: 2023
• 期刊: Journal of cardiovascular translational research
• 影响因子: 3.4
• 作者: Strocchi M

The Turing Data Safe Haven: An open, scalable, reproducibly deployable, cloud-based Trusted Research Environment for working safely with sensitive data

图灵数据安全港：一个开放、可扩展、可重复部署、基于云的可信研究环境，可安全地处理敏感数据

• DOI: 10.5281/zenodo.7646619
• 发表时间: 2023
• 作者: O'Reilly M

The AI Revolution: Opportunities and Challenges for the Finance Sector

• DOI: 10.48550/arxiv.2308.16538
• 发表时间: 2023-08
• 期刊: ArXiv
• 作者: C. Maple;L. Szpruch;G. Epiphaniou;Kalina S. Staykova;Simran Singh;William Penwarden;Yisi Wen;Zijian Wang;Jagdish Hariharan;Pavle Avramović

Cell to whole organ global sensitivity analysis on a four-chamber heart electromechanics model using Gaussian processes emulators.

• DOI: 10.1371/journal.pcbi.1011257
• 发表时间: 2023-06
• 期刊: PLoS computational biology
• 影响因子: 4.3

Fast exact simulation of the first passage of a tempered stable subordinator across a non-increasing function

快速精确模拟非增函数中的调节稳定从属子的第一次传递

• DOI: 10.48550/arxiv.2303.11964
• 发表时间: 2023
• 作者: Cázares J