The power of artificial intelligence (AI) and advanced computing has made it possible to design genetic sequences encoding ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

The team tested its ability to follow the most recent "write" command despite many distracting steps and multi-step recall tests, tasks that are difficult for standard positional encoding methods like ...

Deep learning methods such as multilayer perceptrons (MLPs) and convolutional neural networks (CNNs) have been applied to predict the complex traits in animal and plant breeding. However, it remains ...

Abstract: Combining the message-passing paradigm with the global attention mechanism has emerged as an effective framework for learning over graphs. The message-passing paradigm and the global ...

Quantum computing exists beyond the realm of science fiction. Technology is now integrating with artificial intelligence to transform machine learning capabilities, adaptation and reasoning abilities.

Abstract: DNA storage is considered to be a promising storage media in the current era of data explosion. DNA encoding is the beginning of the DNA storage process and lays the foundation for ...

A Canadian quantum computing start-up claims its new qubit will enable much smaller and cheaper error-free quantum computers. But getting there will be a steep challenge. To correct its own errors, a ...

Video compression doesn’t always get the attention it deserves, but make no mistake: Compression technology is one of the most important driving forces in the video surveillance industry. Each time a ...

We have a table which is ingested from hive. But, the data volumne of doris table is 4 times that of hive table. Hive table's format is orc. I found that a double column takes up the most storage. I ...

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