首页|Researchers from Georgia Institute of Technology Discuss Findings in Machine Lea rning (Machine learning-enabled forward prediction and inverse design of 4D-prin ted active plates)
Researchers from Georgia Institute of Technology Discuss Findings in Machine Lea rning (Machine learning-enabled forward prediction and inverse design of 4D-prin ted active plates)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from the Georgia Institute of Technology by NewsRx correspondents, research stated, “Shapetransf ormations of active composites (ACs) depend on the spatial distribution of const ituent materials.”Financial supporters for this research include United States Department of Defen se | United States AirForce | Afmc | Air Force Office of Scientific Research.
Georgia Institute of TechnologyCyborgsEmerging TechnologiesMachine Learning