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The timing also would mean higher costs for rebuilding efforts in L.A. County communities destroyed by wildfires.
UC Riverside researchers have demonstrated a new, unsupervised machine learning approach to find new patterns in the auxiliary channel data of the Laser Interferometer Gravitational-Wave Observatory.
The Palisades, Eaton and Hurst wildfires in Southern California have destroyed more than 12,000 structures, raising the likelihood of a spike in demand for lumber in the months and years ahead.