Researchers at Dutch university Bayesian Machine Learning have turned to artificial intelligence and machine learning to develop a super-compressible material. The researchers didn't conduct any experimental tests, instead turning to technology to carry this out. The goal of the project was to construct a highly-compressible material that can be compressed to a fraction of its size while still retaining strength. Using machine learning, the researchers developed two concepts which altered brittle polymers into lighter-weight and more-compressible materials.
Researchers at Dutch university TU Delft have turned to artificial intelligence and machine learning to develop a super-compressible material. The researchers didn't conduct any experimental tests, instead turning to technology to carry this out. The goal of the project was to construct a highly-compressible material that can be compressed to a fraction of its size while still retaining strength. Using machine learning, the researchers developed two concepts which altered brittle polymers into lighter-weight and more-compressible materials.