Dealing with categorical data is an essential part of data preprocessing in many machine learning tasks. Fortunately, encoding categorical data efficiently helps enhance the performance of machine ...

A recent study by researchers from CSIRO and the University of Melbourne has made progress in quantum machine learning, a field aimed at achieving quantum advantage to outperform classical machine ...

Lawrence Berkeley National Laboratory has announced that national lab and university researchers recently released two papers introducing new methods of data storage and analysis to make quantum ...

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.

Distributed video coding (DVC) represents a paradigm shift in video compression, wherein the computational burden is transferred from the encoder to the decoder. This approach exploits the inherent ...

Artificial intelligence can read data stored in DNA strands within 10 minutes rather than the days required for previous methods, bringing DNA storage closer to practical use in computing. “DNA can ...

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...