Enabling rapid adoption of artificial intelligence through an anonymized data protocol and explainable models
Enabling rapid adoption of artificial intelligence through an anonymized data protocol and explainable models
批准号:
104814
负责人:
金额:
$194.21万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --
中文摘要
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英文摘要
Two of the greatest obstacles towards adoption of artificial intelligence in UK services is the acquisition of confidential data, and the explainability of black-box neural models. This research will draw on a number of academics from leading research institutions, large commercial partners and Ginie AI, a machine learning startup to tackle these issues. In particular, commercial products that advance state of the art algorithms will be developed. These solutions will draw on the latest body of research in computational privacy and machine learning. The technology will be researched, tested and trialled in a commercial setting. In addition, key stakeholders and regulatory bodies will be engaged with to provide an industry wide protocol of how to enable access to data for the rapid adoption of machine learning in services.
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海外基金
Research on the Rapid Growth Mechanism of KDP Crystal
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批准号:10774081
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项目类别:面上项目
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资助金额:45.0万元
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批准年份:2007
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负责人:滕冰
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依托单位:
颅骨缺损修补新材料的表面改性研究及个体化快速三维成型
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批准号:30500520
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项目类别:青年科学基金项目
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资助金额:25.0万元
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批准年份:2005
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负责人:赵元立
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依托单位: