冷泉港实验室的研究员 开发了配对系统的 隐私保护算法 优于现有的程序 Researcher at Cold Spring Harbor Laboratory develops privacy-preserving algorithm for pairing systems, outperforming existing programs.

冷泉港实验室的Saket Navlakha开发了一种新的算法 受神经系统双方匹配过程的启发 Cold Spring Harbor Laboratory's Saket Navlakha has developed a new algorithm inspired by the nervous system's bipartite matching process. 这种做法提高了配对系统的效率,如器官捐赠和搭载服务,同时避免中央服务器数据共享,从而保护隐私。 This approach improves efficiency in pairing systems, such as organ donation and rideshare services, while preserving privacy by avoiding central server data sharing. 算法在测试方面优于现有程序,并有可能在各个领域应用,加强匹配程序和缩短等待时间。 The algorithm outperformed existing programs in tests and has potential applications in various fields, enhancing matching processes and reducing wait times.