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DoDo-Code: a Deep Levenshtein Distance Embedding-based Code for IDS Channel and DNA Storage
In this paper, we propose an innovative approach that utilizes deep Levenshtein distance embedding to bypass these mathematical challenges.
Levenshtein Distance Embedding with Poisson Regression for DNA Storage
Under this embedding dimension, the Poisson regression is introduced by assuming the Levenshtein distance between sequences of fixed length following a Poisson distribution, which naturally aligns with the definition of Levenshtein distance.
AI Ethics Issues in Real World: Evidence from AI Incident Database
With the powerful performance of Artificial Intelligence (AI) also comes prevalent ethical issues.
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