Accelerated chemical science with AI

In light of the pressing need for practical materials and molecular solutions to renewable energy and health problems, to name just two examples, one wonders how to accelerate research and development in the chemical sciences, so as to address the time it takes to bring materials from initial discovery to commercialization. Artificial intelligence (AI)-based techniques, in particular, are having a transformative and accelerating impact on many if not most, technological domains. To shed light on these questions, the authors and participants gathered in person for the ASLLA Symposium on the theme of ‘Accelerated Chemical Science with AI’ at Gangneung, Republic of Korea. We present the findings, ideas, comments, and often contentious opinions expressed during four panel discussions related to the respective general topics: ‘Data’, ‘New applications’, ‘Machine learning algorithms’, and ‘Education’. All discussions were recorded, transcribed into text using Open AI's Whisper, and summarized using LG AI Research's EXAONE LLM, followed by revision by all authors. For the broader benefit of current researchers, educators in higher education, and academic bodies such as associations, publishers, librarians, and companies, we provide chemistry-specific recommendations and summarize the resulting conclusions

¿Educación STEM o en humanidades?: Una reflexión en torno a la formación integral del ciudadano del siglo XXI

The vertiginous development of the STEM disciplines (Science, Technology, Engineering and Mathematics) made the education in these areas a key component for the 21st century. Consequently, the education in humanities has been displaced by its apparent uselessness for the market’s demands, facing up a so-called crisis. The need to articulate both educational approaches is raised for the comprehensive development of the 21st century citizens, because there is not only the demand for people highly qualified in STEM knowledge and skills, but also people that think critically and who are self-regulated, cultural and ethically responsible.El desarrollo vertiginoso de las disciplinas STEM (Ciencia, Tecnología, Ingeniería y Matemáticas), ha evidenciado que la educación en estas áreas sea considerada como un componente clave para el siglo XXI. Como consecuencia, la educación en humanidades se ha visto desplazada por su carácter aparentemente inútil para las demandas del mercado, enfrentando una supuesta crisis. Se plantea la necesidad de articular ambos enfoques educativos para el desarrollo integral de los ciudadanos del siglo XXI, pues no sólo se requieren sujetos altamente capacitados en conocimientos y habilidades STEM, sino que también sujetos críticos, autorregulados y responsables cultural y éticamente

Accelerated chemical science with AI

In light of the pressing need for practical materials and molecular solutions to renewable energy and health problems, to name just two examples, one wonders how to accelerate research and development in the chemical sciences, so as to address the time it takes to bring materials from initial discovery to commercialization. Artificial intelligence (AI)-based techniques, in particular, are having a transformative and accelerating impact on many if not most, technological domains. To shed light on these questions, the authors and participants gathered in person for the ASLLA Symposium on the theme of ‘Accelerated Chemical Science with AI’ at Gangneung, Republic of Korea. We present the findings, ideas, comments, and often contentious opinions expressed during four panel discussions related to the respective general topics: ‘Data’, ‘New applications’, ‘Machine learning algorithms’, and ‘Education’. All discussions were recorded, transcribed into text using Open AI's Whisper, and summarized using LG AI Research's EXAONE LLM, followed by revision by all authors. For the broader benefit of current researchers, educators in higher education, and academic bodies such as associations, publishers, librarians, and companies, we provide chemistry-specific recommendations and summarize the resulting conclusions.</p