Core Insights - The article discusses the development of a multimodal AI robotic platform named CRESt, aimed at accelerating the discovery of advanced materials through real-world experimental validation [2][3][4]. Group 1: CRESt Platform Overview - CRESt integrates large multimodal models (LMM) with knowledge-assisted Bayesian optimization (KABO) and robotic automation to enhance material design and performance optimization [3][8]. - The platform utilizes a combination of chemical composition, text embeddings, and microscopic structural images to create a coherent framework for material exploration [7][8]. Group 2: Experimental Achievements - In a three-month period, CRESt autonomously explored over 900 catalyst chemical compositions and conducted 3,500 electrochemical tests, identifying a state-of-the-art catalyst with a cost-specific performance improvement of 9.3 times compared to traditional catalysts [4][12]. - The identified catalyst composition includes elements such as palladium, platinum, copper, and others, showcasing the platform's ability to navigate complex chemical spaces [12]. Group 3: Technological Innovations - CRESt's core innovation lies in its ability to interpret and synthesize heterogeneous data types, allowing for a multidimensional understanding of material systems [8][9]. - The platform's integration with advanced robotic synthesis and characterization enables a rapid feedback loop, transforming traditional material development into an agile closed-loop system [8][9]. Group 4: Future Implications - The framework of CRESt suggests a future where experimental laboratories operate as intelligent ecosystems, driven by AI to autonomously guide research directions and experimental designs [13][14]. - The success of CRESt in the field of electrochemical catalysis indicates its potential transformative impact across various scientific domains, paving the way for rapid prototyping in renewable energy, electronics, and pharmaceuticals [13][14].

Core Viewpoint - The launch of the first XAI Technology Festival and the 2025 opening ceremony by Beijing Zhongguancun Academy and Zhongguancun Artificial Intelligence Research Institute marks a significant step in promoting AI education and innovation in China [1][5][26]. Group 1: Event Highlights - The event featured prominent guests including academicians and education officials, emphasizing the importance of collaboration in AI talent cultivation and research innovation [3][12][24]. - Eight major innovative research advancements were announced, covering key areas in AI and its integration with natural and social sciences, showcasing the institutes' commitment to high-quality development in AI [5][26]. Group 2: Educational Philosophy and Expectations - The academy's leadership outlined a training system focused on foundational knowledge, practical applications, and interdisciplinary research, aiming to cultivate future leaders in AI [10][12]. - Students were encouraged to embrace curiosity, follow their interests, and acknowledge their limitations, fostering a culture of inquiry and resilience [16][18]. Group 3: Future Directions - The Zhongguancun Academy aims to deepen its focus on AI core fields, enhance basic research and application innovation, and promote the integration of AI across various industries [26][27]. - The first XAI Technology Festival will serve as a platform for showcasing research achievements and fostering collaboration among students, universities, and industries [22][24].