首页|Investigators at University of California Berkeley Report Findingsin Machine Le arning (Advancing Programmable Metamaterials Through Machine Learning-driven Buc kling Strength Optimization)
Investigators at University of California Berkeley Report Findingsin Machine Le arning (Advancing Programmable Metamaterials Through Machine Learning-driven Buc kling Strength Optimization)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating in Berkeley, Cal ifornia, by NewsRx journalists, research stated, “Metamaterials arespecially en gineered materials distinguished by their unique properties not typically seen I n naturally occurringmaterials. However, the challenge lies in achieving lightw eight yet mechanically rigid architectures,as these properties are sometimes co nflicting.”
BerkeleyCaliforniaUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniver sity of California Berkeley