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Machine learning on GPUs and application to data science

Machine learning on GPUs and application to data science
GPU 上的机器学习及其在数据科学中的应用
批准号:
2227382
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --

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中文摘要
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英文摘要
When I followed a computer vision module at Swansea University, I realized that Machine Learning is a field in which I am interested.Machine learning have shown high potential in terms of providing customized services in Healthcare [1], Financial Services [2] and etc. While machine learning can be used for the greater good, it also can be dangerous if there is not enough control on it. For instance, personal data from millions people were harvested by Cambridge Analytica [3] and used for political purposes, which presents ethical issues. At Helping Human Beings, I would like to use AI's potential in medical area such as diagnose disease which could alleviate the burden for the NHS and help RDAG (Rare Diseases Advisory Group).One important need in rare diseases is timely diagnosis which can play a significant life changing rule in life of patients [4]. While it is relatively easy to warn someone about his/her diabetic risks for instance, other diseases may be more difficult to diagnose. Abundance of data in medical care are generated and stored either for administrative purposes or for research [5]. Therefore I can easily foresee that one could get better diagnostics by using this data and this would be of interest to millions of people if data confidentiality and privacy can be respected.As such, I would be passionate about working on any fascinating AI techniques that can support people similarly to the case mentioned previously, without being detrimental to the people.
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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位:
煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    吉建娇
  • 依托单位:
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
  • 批准号:
    62003314
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2020
  • 负责人:
    沈剑
  • 依托单位: