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AI Research

HSBC collaborates with universities and research institutes to participate in academic research and drive innovation.

Examples of this collaboration include:

  • HSBC has partnered with the Department of Physics and School of Data Science at Fudan University to collaborate on research in emerging technologies such as data, machine learning, and quantum computing to promote innovation in financial technology research.
  • HSBC has signed a partnership agreement with the School of Computer Science and Technology at Fudan University to jointly research and develop an intelligent software development algorithm based on large language models, aiming to digitize software engineering at HSBC and enhance development efficiency, code quality, and customer experience. The collaboration will focus on researching and developing innovative algorithms, tools, and methods to achieve more intelligent, efficient, and maintainable software development processes.
  • In 2021, HSBC entered a strategic partnership with The Hong Kong University of Science and Technology (HKUST) to enhance technology applications in banking and finance, and to develop and deliver tailor-made talent development programmes. Areas of research include Generative AI, Large Language Models, Quantum Computing, Fraud Detection & Prevention, Digital Humans/Deep Fakes, and Actuarial Science.
  • HSBC is part of a consortium supporting the Monetary Authority of Singapore (MAS) with Phase 1 of Project MindForge, a Veritas Initiative based on FEAT principles which focuses on examining the risks and opportunities of Gen AI technology in financial services. For more details, please visit the MAS site here.
  • HSBC has joined the Monetary Authority of Singapore’s (MAS) Artificial Intelligence and Data Analytics (AIDA) consortium. The focus is on facilitating collaborations between financial institutions, educational institutions and training providers, technology firms and other stakeholders to develop talent as part of a talent development programme in the field of AIDA for the financial sector.
  • HSBC has supported pilot initiatives with the UK’s Centre for Finance, Innovation and Technology (CFIT) designed to make access to finance quicker and easier for SME’s. More information can be found here.
  • HSBC Mexico is working with Endeavor Mexico to collaborate on accelerating transformation and empowering open innovation. The focus is on how to stay ahead of the increasingly dynamic and challenging market where gen AI is playing a pivotal role on the accelerated growth seen from market participants, and the changing of the market landscape.
  • HSBC is a member of MIT ILP (Massachusetts Institute of Technology’s Industrial Liaison Program), which is a program for large organizations interested in long-term, strategic relationships with MIT. Executives can learn about breakthrough discoveries so that they can make better decisions, develop new capabilities, platforms, and business models, and develop their next generation of professionals and executive leadership. MIT ILP offers learning, coursework, conferences, access to startup companies, and special sessions to engage with professors.

HSBC has also filed for the below patents related to, or involving, elements of AI or machine learning:

Patent Applications

US17/945,711

Patent application titled “Network Inventory Management and Anomaly Detection System“, filed on 15/09/2022 by Bojan Kolosnjaji, Huang Xiao, George Webster, and Andrew Carney.

GB2315747.2

Patent application titled “System for Processing Network Security Alerts“, filed on 13/10/2023 by Bojan Kolosnjaji, Huang Xiao and Philip Intallura.

US18/870922

Patent application titled “Data Mirror“, filed on 20/12/2023 by Kevin Wang, Galen Zhong, John Li, and Looson Wu

US18/396,063

Patent application titled “Systems and Methods for Quantum Graph Optimization Circuit for Portfolio Optimization“, filed on 26/12/2023 by Yuhan Huang, Si Yuan Jin, Qiming Shao, Bing Zhu, and Ziyuan Li.

US18/593,494

Patent application titled “Machine Learning System Using a Quantum Computing“, filed on 01/03/2024 by Mekena Metcalf, Philip Intallura, and Jorja Kirk.

US18/648,011

Patent application titled “Service Capability Prediction and Provisioning“, filed on 26/04/2024 by Ashwath Ramaswamy.

US18/745,788

Patent application titled “System and Method for Detecting Ethical Bias in Machine Learning“, filed on 17/06/2024 by Nilanjan Mukhopadhyay, Avijit Ghosh, and James Gorstige.

US18/812894

Patent application titled “Systems and Methods for Machine Learning Using Adversarial Learning and Data Transformation“, filed on 22/08/2024 by Bing Zhu, Stan Li, Yong Xia, and collaborators from Fudan University.

GB2412113.9

Patent application titled “Trajectory Mining for Data Message Routing“, filed on 16/08/2024 by Georgios Korpas and Dimitris Kaklis.

US18/806,406

Patent application tiled “System and Method for Transpilation of Source Code Using Machine Learning“, filed on 15/08/2024 by Jude Ken-Kwofie and Philip Intallura.

CN202411488950.3

Patent application, titled "Systems and Methods for Automatically Mapping Process Diagram Data to Application Programming Interfaces", filed on 23/10/2024 by Bing Zhu, Yong Xia, Bichao Chen, Thomas Huang, Justin Zong, Stan Li, Matthew Yu, and Atlas Wang.

US18/926178

Patent application, titled "Systems and Methods for Machine Learning-Based Data Field Validation", filed on 24/10/2024 by Saket Godase, Atul Kulkarni, Aditya Patel, Sai Kantimahanti, Claudia Dsouza, and Sonu Sachdeva.

US18/961048

Patent application, titled "Systems and Methods for Graphical User Interface Machine Learning-Based Fraud Detection", filed on 26/11/2024 by Si Chen, Sivaram Balasubramanian, Jiong Shan, Vasa Subhash, Brendon Gill, and Pandeti Revanth.

CN202411895953.9

Patent application, titled "Systems and Methods for Automatic Generation of User Interface Rendering Code Using Machine Learning", filed on 20/12/2024 by Edward Liu, Frances Wu, Stan Li, and Bing Zhu.

CN202411912615.1

Patent application, titled "Systems and Methods for Automatic Evaluation of Rendered User Interface Using Machine Learning", filed on 23/12/2024 by Wei Ming Zhuang, Junbao Duan, Linlin Ge, Stan Li, Frances Wu, and Benjamin Chodroff.

CN202411977454.4

Patent application, titled "User Configurable ML-Based Cash Optimisation Solution", filed on 30/12/2024 by Aiden Chen, Alex Lo, Fay Li, Lin Guo, Martin Qiao, Paul Luo, Qucy Wei Qiu, Ray Zeng, and Vincent Deng.

CN202411977473.7

Patent application, titled "Systems and Methods for Enhanced Natural Language to SQL Generation in Multi-Table Question-Answering", filed on 30/12/2024 by Alex Chen, Jerry Fang, Shiny Ke, Leo Lee, Vagel Liu, Gavin Scott Lonsdale, Roger Luo, April Ng, Jessie Saw, Hinchung Tam, Adrian Khwang, Jay Ye, Ling Zhang, Bing Zhu, and a collaborator from HKUST.

CN202411999831.4

Patent application, titled "AI-Powered IT Service Incident Management System", filed on 31/12/2024 by Bing Zhu, Kai Chen, Yong Xia, Bichao Chen, Zhendong Bei, Mark Liu, Matthew Yu, Stan Li, and Atlas Wang.

US19/007416

Patent application, titled "Systems and Methods for Hybrid Multi Machine Learning Agent Orchestration", filed on 31/12/2024 by Jude Ken-Kwofie, Violetta Atoyan, John Merrall, Nathalie Trandin, and Philip Intallura.

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