Accelerating adoption of AI in materials and chemicals to deliver net zero goals faster

加速人工智能在材料和化学品领域的采用，以更快地实现净零目标

• 批准号: 10066586
• 金额: $ 6.23万
• 依托单位: INTELLEGENS LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10066586
• 关键词: Accelerating; adoption; AI; materials; chemicals

Intellegens seek support to create a consortium to accelerate the adoption and trustworthiness of artificial intelligence (AI) and machine learning (ML) technologies in the materials and chemicals industries in the UK. Intellegens is a provider of advanced machine learning software, Alchemite(tm), with an international network of existing customers, partners, academic collaborators, and real-time operating systems in the materials and chemicals sectors. This network places Intellegens in the ideal position to bring together the key parties in the UK, and globally, to address the challenges of AI and ML adoption.It is critical for the materials and chemicals industries to adopt AI and ML to hit net zero targets to address climate change. Intellegens has proven its ML technology Alchemite(tm) can optimize production processes to reduce energy consumption and emissions, while also improving efficiency and productivity. Moreover, AI and ML can be used to develop materials and chemicals compositions that are more sustainable and have a lower environmental impact.Materials and chemicals industries struggle to adopt AI due to a number of factors:1. The industries are highly regulated making it difficult to implement new technologies.2. Products produced are customised to specific customer needs, which can make it difficult to standardise processes across different production lines.3. Cost of implementing new technologies can be high, and benefits may not be immediately apparent.4. These industries are resistant to change, preferring to stick with traditional methods.Alchemite(tm) enables existing data to be uploaded and configured, offers a simple yet powerful ML model building interface, a rich set of analytics, predictive & design capabilities, and the ability to deploy models to non-expert end users. Easy-to-understand analytics are key to addressing issues (2) and (4) above -- which in turn will drive solutions to points (1) and (3), fundamental to deliver 'explainable AI'.The long-term vision is to accelerate the adoption of AI in the materials and chemicals industries. During the first phase, the consortium will assess aspects of trustworthy AI with respect to the industry, review key aspects such as transparency, fairness, bias detection, safety, robustness, auditing and monitoring, compliance, and the role / need for human oversight. The output will be a technical report opening a trusted and responsible solution that benefits the UK material and chemical industries.

Intellegens寻求支持建立一个联盟，以加快英国材料和化学工业中人工智能（AI）和机器学习（ML）技术的采用和信任度。 Intellegens是高级机器学习软件，Alchemite（TM）的提供商，其国际网络由现有客户，合作伙伴，学术合作者以及材料和化学领域的实时操作系统网络。该网络将英特勒根人置于英国的关键方面，并在全球范围内应对AI和ML采用的挑战，这对于材料和化学工业采用AI和ML以达到零净目标以应对气候变化至关重要。 Intellegens已证明其ML技术炼金石（TM）可以优化生产过程，以减少能源消耗和排放，同时也提高了效率和生产率。此外，AI和ML可用于开发更可持续性且环境影响较低的材料和化学成分。由于许多因素，材料和化学工业努力采用AI：1。这些行业受到高度监管，因此很难实施新技术2。生产的产品是针对特定客户需求定制的，这可能使得很难在不同生产线上标准化流程3。实施新技术的成本可能很高，而且收益可能并不明显。4。这些行业可以抵抗变化，更喜欢坚持使用传统方法。Allecite（TM）使现有数据可以上载和配置，提供了一个简单而强大的ML模型构建界面，丰富的分析，预测性和设计功能，以及将模型部署到非Expert Expert最终用户的能力。易于理解的分析是解决上述问题（2）和（4）的关键 - 进而将解决方案推向（1）和（3），这是提供“可解释的AI”的基础。长期愿景是加速在材料和化学工业中采用AI。在第一阶段，该财团将评估可信赖的AI方面关于该行业的方面，审查关键方面，例如透明，公平，偏见检测，安全性，鲁棒性，稳健性，审计和监测，合规性以及对人类监督的作用 /需求。该输出将是一份技术报告，开设了一种受信任和负责任的解决方案，该解决方案受益于英国材料和化学工业。