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

英特尔寻求支持，以建立一个联盟，以加速人工智能（AI）和机器学习（ML）技术在英国材料和化学工业中的采用和可信度。英特尔公司是先进的机器学习软件Alchemite（TM）的提供商，拥有由现有客户、合作伙伴、学术合作者以及材料和化学品领域的实时操作系统组成的国际网络。该网络使英特尔处于理想的位置，可以将英国和全球的关键各方聚集在一起，以应对人工智能和机器学习采用的挑战。对于材料和化学品行业来说，采用人工智能和机器学习实现净零目标以应对气候变化至关重要。英特尔公司已经证明其ML技术Alchemite（TM）可以优化生产流程，减少能源消耗和排放，同时提高效率和生产力。此外，人工智能和机器学习还可用于开发更具可持续性且对环境影响更小的材料和化学品成分。材料和化学品行业难以采用人工智能，原因有很多：1.这些行业受到高度管制，难以实施新技术。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的流程难以协调。3.实施新技术的成本可能很高，而且效益可能不会立即显现。Alchemite（tm）支持上传和配置现有数据，提供简单而强大的机器学习模型构建界面，丰富的分析、预测和设计功能，以及将模型部署给非专业最终用户的能力。易于理解的分析是解决上述问题（2）和（4）的关键-这反过来又将推动解决方案（1）和（3），这是提供“可解释的人工智能”的基础。长期愿景是加速人工智能在材料和化工行业的采用。在第一阶段，该联盟将评估值得信赖的人工智能在行业方面的表现，审查关键方面，如透明度、公平性、偏见检测、安全性、鲁棒性、审计和监控、合规性以及人类监督的作用/需求。产出将是一份技术报告，提供一个值得信赖和负责任的解决方案，使英国材料和化学工业受益。

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.