An investigation into the application of machine learning algorithms for the discrimination, classification and optimal application of a military (nuc

该提案旨在研究如何将机器学习技术用作核导弹防御系统的一部分。将应聘雇主AWE的知识与学术界的国防和机器学习专家结合起来。AWE是负责英国S核武器计划的组织。这将不同于先前存在的研究，因为核武器效应的参与和反应是AWE特别感兴趣的一个领域。该项目的目标可以概括如下。首先，研究能够正确区分和分类威胁和核装置的机器学习算法，然后在围绕核环境运行的情况下，以其资产的最佳使用对检测到的场景做出响应。其次，培养应聘者在机器学习技术方面的技能，以便能够将其应用到未来的其他工作领域。最后，对候选人进行培训，使其具备许多所需领域(如雷达系统)方面的专业知识。预计结果将是结果的相关高标准文档、具有代表性的计算模型和候选人的主题专门知识。

The proposal is to investigate how machine learning techniques can be used as part of a nuclear missile defence system. Combining the knowledge of the candidate employer AWE, the organisation responsible for the U.K.'s nuclear weapons programme, with defence and machine learning experts in academia. This will differ from pre-existing research due to the involvement and response to nuclear weapon effects, an area of specific interest to AWE. The objectives of the project can be summarised as follows. Firstly, to investigate machine learning algorithms that can correctly discriminate and classify threats and nuclear devices, then respond to the scenario detected with optimal usage of its assets, while operating around nuclear environments. Secondly, develop the candidate's skillset in machine learning techniques to then be able to apply them to additional future areas of work. Finally, to train the candidate to a competent level of expertise in many of the required fields (such as radar systems). The outcomes are expected to be the relevant high standard documentation of findings, representative computational models and subject matter expertise to the candidate.