Research areas. Code and datasets. Follow Us. Search Submit Search. One result found. Scalable blocking for very large databases. In the field of database deduplication, the goal is to find approximately matching records within a database.
Blocking is a typical stage in this process that involves cheaply finding candidate pairs of records that are potential matches for further processing. We present here Hashed Dynamic Blocking, a new approach to blocking designed to address datasets larger than those studied in most prior work. Information and knowledge management. Latest news. QKD and authentication: Separating facts from myths. Xinhua Frank Ling , Juan Moreno. Key exchange protocols and authentication mechanisms solve distinct problems and must be integrated in a secure communication system.
Quantum technologies. The 10 most viewed publications of Staff writer. From cloud databases and anomaly detection on graphs to recession prediction and Amazon's new Nova foundation models, these are the most viewed publications authored by Amazon scientists and collaborators in The 10 most viewed blog posts of Large language models remained a hot topic, but posts about cryptography and automated reasoning also drew readers.
Work with us See more jobs See more jobs. Applied Scientist, Personalization. You will be responsible for developing and disseminating customer-facing personalized recommendation models. This is a hands-on role with global impact working with a team of world-class engineers and scientists across the Edinburgh offices and wider organization.
You will lead the design of machine learning models that scale to very large quantities of data, and serve high-scale low-latency recommendations to all customers worldwide. You will embody scientific rigor, designing and executing experiments to demonstrate the technical efficacy and business value of your methods.
