A machine-learning algorithm originally built to spot impact craters on Mars has been retrained on ocean-floor data, and the ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Physics-informed machine learning connects atomic structure with ion transport and electrolyte stability, accelerating better sodium- and lithium-ion batteries.

For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National ...

アルゴリズムを利用した意思決定が爆増している。機械学習アルゴリズムから市場設計メカニズムや政策受益資格ルールまで、そしてビジネスから公共政策まで、アルゴリズムが雨後の筍状態だ。アルゴリズムによる意思決定は面白い性質を持つ。意思決定 ...

Image courtesy by QUE.com For decades, the search for room-temperature superconductors has been one of physics' most ...