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Compositional learning research including a novel meta-model for eCommerce

Compositional learning research including a novel meta-model for eCommerce
组合学习研究,包括一种新颖的电子商务元模型
批准号:
97180
负责人:
金额:
$26.56万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --

项目摘要

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中文摘要
翻译
我们项目的主题是提高商业和工业效率。我们的项目涉及研究下一代人工智能,以帮助零售商。人工智能深度学习教父杰弗里欣顿写道:“非常先进的智能将涉及智能系统的社区,因为社区可以看到比单个系统更多的数据。"最成功的在线零售商,如亚马逊,Boohoo和Asos都使用人工智能来推动30%的增长虽然人工智能的速度比平均水平快,但对于绝大多数在线零售商来说,人工智能仍然很难访问和部署。Cloud.IQ希望帮助所有在线零售商在我们现有的转化率优化解决方案的基础上获得最先进的人工智能,该解决方案目前已被全球400家实时商家使用。我们的创新是在集体人工智能领域,专注于实现独立的、独立的深度学习模型,以共同实现一个共同的目标。Cloud.IQ已经拥有数据集,AI工程师和一个独特的计划,为电子商务提供AI解决方案,这将为任何在线零售商提供开箱即用的解决方案。我们已经与著名的人工智能从业者和学者验证了我们的建议,他们证实这一概念是人工智能的下一个发展。这项技术将以多种方式为零售商服务,其核心是优化收入或利润,但除此之外,它将帮助他们通过使用预测性销售分析来更有效地管理库存。
英文摘要
The main theme of our project is to improve business and industry efficiency. Our project relates to research into the next generation of AI to help retailers. Geoffrey Hinton, the godfather of deep learning in AI wrote 'Very advanced intelligence is going to involve making communities of intelligent systems because a community can see much more data than an individual system'.The most successful online retailers, like Amazon, Boohoo and Asos all use AI to power growth that is 30% faster than the average but AI is still hard to access and deploy for the vast majority of online retailers. Cloud.IQ want to help all online retailers access cutting edge AI building on our existing conversion rate optimisation solutions, which is currently used by 400 live merchants worldwide.Our innovation is in the field of Collective Artificial Intelligence, focused on enabling stand alone, separate deep learning models, to work together towards a single shared objective.Cloud.IQ already has the data set, AI engineers and a unique plan to deliver and AI solution for E-commerce which will work out of the box for any online retailer. We have validated our proposal with notable AI practitioners and academics, who confirm that this concept is the next evolution in AI. This technology will serve retailers in many ways, at its core it optimises revenue or profit, but beyond this it will help them to more effectively manage their stock with the use of predictive sell-through analytics.
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  • 批准年份:
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