Найдено 2
Ничего не найдено
Transforming Research Laboratories with Connected Digital Twins
Rihm S.D., Bai J., Kondinski A., Mosbach S., Akroyd J., Kraft M.
To substantially expedite scientific discovery, research laboratories need to be further automated. In this regard, the scientific community envisions an ‘AI scientist’ capable of planning, conducting, and assessing experiments based on higher-order goals and reasoning capabilities. We argue that a paradigm shift is necessary to bridge the gap between the current trajectory of lab automation and this vision. Adopting a systems perspective reveals several key challenges that must be addressed. We argue that achieving holistic lab automation requires a network of comprehensive distributed digital twins grounded in a universal knowledge model. Dynamic knowledge graphs are expected to play an important role, and we introduce a framework encompassing all aspects of experimental research, including infrastructure and peripheries. Our framework considers human-machine interactions from the outset to empower a goal-driven approach that brings automation to autonomy.
Nexus: Where science and engineering meet
Yan J., Obersteiner M.
Science and engineering are distinct fields, and their intersection is the space where scientific breakthroughs and innovation are born. The nexus of science and engineering is where scientists and engineers create new technologies, products, and solutions to solve complex real-world problems. In today's interconnected world, the nexus is more important than ever.
