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

IntelLegens寻求支持创建一个财团，以加快人工智能(AI)和机器学习(ML)技术在英国材料和化工行业的采用和可信度。IntelLegens是先进机器学习软件AlChemite(Tm)的供应商，在材料和化学品领域拥有由现有客户、合作伙伴、学术合作者和实时操作系统组成的国际网络。这个网络使IntelLegens处于理想的地位，可以将英国和全球的关键各方聚集在一起，以应对人工智能和ML采用的挑战。对于材料和化工行业来说，采用人工智能和ML来实现净零目标以应对气候变化至关重要。IntelLegens已经证明其ML技术AlChemite(Tm)可以优化生产流程，以减少能源消耗和排放，同时还可以提高效率和生产率。此外，人工智能和ML可以用于开发更可持续、对环境影响更低的材料和化学品成分。材料和化学品行业由于以下几个因素而难以采用人工智能：1.行业受到高度监管，难以实施新技术。所生产的产品是根据特定的客户需求定制的，这可能会使不同生产线上的流程标准化变得困难。实施新技术的成本可能很高，而且好处可能不会立即显现。这些行业不愿改变，更愿意坚持传统方法。AlChemite(Tm)允许上传和配置现有数据，提供简单而强大的ML模型构建界面，丰富的分析、预测和设计能力，以及向非专家最终用户部署模型的能力。易于理解的分析是解决上述问题(2)和(4)的关键--这反过来将推动解决方案达到第(1)和(3)点，这是提供“可解释的人工智能”的基础。长期愿景是加快人工智能在材料和化工行业的采用。在第一阶段，该联盟将评估与行业有关的值得信赖的人工智能的各个方面，审查诸如透明度、公平性、偏见检测、安全性、稳健性、审计和监测、合规性以及人工监督的作用/需要等关键方面。结果将是一份技术报告，开启了一个值得信赖和负责任的解决方案，使英国的材料和化工行业受益。

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.