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This paper addresses the critical challenges of data management and security within cloud environments by exploring the use of Time-Variant Secure Data Fragmentation and Reassembly Algorithms.
The team designed a fully dynamic APSP algorithm in the MPC model with low round complexity that is faster than all the existing static parallel APSP algorithms.
Encryption is essential for protecting data, with both symmetric and asymmetric methods offering unique advantages.
By leveraging AI algorithms, Parallel Analytica empowers businesses to extract valuable insights from vast amounts of data, make accurate predictions, and optimize decision-making processes.
Parallel Domain, a startup developing a platform for synthesizing AI model training data, has raised $11 million.
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