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ABB has signed a Memorandum of Understanding (MoU) with industrial decarbonization company Alcemy to jointly explore AI-based solutions for assessing the quality of cement and concrete. By combining ABB’s expertise in automation and process control with Alcemy’s predictive technology, the agreement aims to optimize cement production processes globally while reducing emissions. Integrating predictive quality insights into plant operations lies at the heart of this collaboration. Alcemy’s solution extracts process and quality data from the ABB Knowledge Manager (KM), analyzes it using machine learning models, and feeds setpoints back to the ABB Ability™ Expert Optimizer (EO). This closed-loop approach aims to improve product consistency and overall plant performance, helping operators better manage fluctuations in the production process.

On the path to sustainable development, Siemens looks beyond its own operations. Guided by our DEGREE framework, we not only focus deeply on carbon reduction but also recognize that a green transition requires collaboration across the entire value chain. Therefore, we extend this green vision across our entire supply chain ecosystem, continuously empowering our partners to turn decarbonization concepts into reality and jointly build a more resilient, green future.

As a technological pioneer in the energy transition, ABB is participating in the China International Electric Power Industry Expo, Green Energy Equipment Expo, and Yarlung Zangbo Hydropower Station Project Construction Supply Chain Exhibition—collectively known as the Chengdu Electric Power Equipment Exhibition—held in Chengdu from May 28 to 30, presenting its thematic solution: "AI + Power: Building a New Energy System." At this exhibition, ABB—anchoring its efforts in the requirements for building the clean energy base in Southwest China—showcases customized solutions centered on "AI + Power" technologies. These solutions cater to hydroelectric projects, zero-carbon industrial parks, and high-altitude environments, thereby facilitating the construction of a safe, efficient, and low-carbon new power system. By responding to the call within the "15th Five-Year Plan" to "promote the optimization and upgrading of the energy structure," ABB joins hands with its customers to co-create a sustainable energy future.

The 2026 Dazhihui Global Intelligent Manufacturing Summit, themed "Embodied Evolution: Intelligently Leading the Future," was successfully held in Suzhou. This summit focused on the critical bottlenecks facing embodied intelligence as it transitions from laboratory R&D to large-scale industrial deployment. It brought together leading experts from the fields of intelligent manufacturing, industrial communications, core semiconductor chips, intelligent robotics, as well as universities and research institutions. The CC-Link Partner Association (CLPA)—a pivotal global organization for establishing industrial network standards—made a prominent appearance at the event. Mr. Xu Jun, Director of the Association's China Office, attended the conference to deliver a keynote address; he also participated in a high-level roundtable discussion, fostering a deep industry consensus across the sectors of industry, academia, research, and application. During the summit, Director Xu Jun noted in his address that embodied AI is emerging as the core engine driving the integrated development of next-generation artificial intelligence and intelligent manufacturing. He emphasized that deterministic communication networks—characterized by high stability, low latency, high reliability, and microsecond-level synchronization capabilities—serve as the critical foundation for ensuring the efficient, closed-loop coordination of "perception, decision-making, and execution" within embodied AI systems; indeed, they are widely recognized within the industry as the "neural network hub" for embodied AI. Built upon the international IEEE TSN standards, CC-Link IE TSN delivers full-stack technical capabilities encompassing Industrial Ethernet, TSN, and deterministic scheduling. It boasts five core advantages: microsecond-level synchronization, low-latency transmission, unified networking for control, information, and AI data, high reliability with ease of maintenance, and flexible scalability. As such, it stands as a mature commercial solution ideally suited for a comprehensive range of embodied AI applications. The CC-Link Association is committed to maintaining an open ecosystem for its standards, collaborating with chip manufacturers, solution providers, equipment manufacturers, and academic research institutions to comprehensively advance the full-stack localization and practical engineering deployment of these technologies, thereby constructing a unified, open, and secure communication foundation for the embodied AI industry.