Department of Biotechnology, Laboratory of Genetics, School of Applied Biology and Biotechnology, Agricultural University of Athens, Athens, Greece.
University Research Institute of Maternal and Child Health & Precision Medicine, National and Kapodistrian University of Athens, "Aghia Sophia" Children's Hospital, Athens, Greece.
Adv Exp Med Biol. 2023;1424:125-133. doi: 10.1007/978-3-031-31982-2_13.
Matchmaking has a great position in the rational allocation of resources in several fields, ranging from market operation to people's daily lives. Matchmakers have evolved through artificial intelligence technologies and are being introduced in numerous aspects of industry, research, and academia in solving decision issues, research innovation design, and building robust and efficient networks. The goal of this report is to describe the collaborative platforms and matchmaking algorithms for research and education, as well as the establishment and optimization of consortia.
配对在市场运作到人们日常生活等多个领域的资源合理分配中具有重要地位。媒人已经通过人工智能技术发展起来,并在解决决策问题、研究创新设计以及构建强大而高效的网络等行业、研究和学术界的众多方面得到了引入。本报告的目的是描述研究和教育的协作平台和配对算法,以及联盟的建立和优化。