Machine learning on GPUs and application to data science

当我在斯旺西大学学习计算机视觉模块时，我意识到机器学习是我感兴趣的一个领域。机器学习在医疗保健[1]、金融服务[1]等领域提供定制服务方面显示出巨大的潜力。虽然机器学习可以用于更大的利益，但如果没有足够的控制，它也可能是危险的。例如，剑桥分析公司（Cambridge Analytica）收集了数百万人的个人数据，并将其用于政治目的，这引发了道德问题。在帮助人类，我想利用人工智能在医疗领域的潜力，比如诊断疾病，这可以减轻NHS的负担，帮助RDAG（罕见疾病咨询小组）。罕见病的一个重要需求是及时诊断，这对患者的生活起着重要的改变作用。例如，提醒某人注意他/她患糖尿病的风险相对容易，但其他疾病可能更难诊断。在医疗保健中产生和存储的大量数据要么用于管理目的，要么用于研究目的。因此，我可以很容易地预见，人们可以通过使用这些数据得到更好的诊断，如果数据保密性和隐私得到尊重，这将是数百万人感兴趣的。因此，我将热衷于研究任何有趣的AI技术，这些技术可以像前面提到的情况一样支持人们，而不会对人们有害。

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.