首页|Studies from Wuhan University of Technology Update Current Data on Machine Learn ing (Self-powered Sensor Based On Compressible Ionic Gel Electrolyte for Simulta neous Determination of Temperature and Pressure)
Studies from Wuhan University of Technology Update Current Data on Machine Learn ing (Self-powered Sensor Based On Compressible Ionic Gel Electrolyte for Simulta neous Determination of Temperature and Pressure)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating in Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “The simult aneous detection of multiple stimuli, such as pressure and temperature, has long been a persistent challenge for developing electronic skin (e-skin) to emulate the functionality of human skin. Meanwhile, the demand for integrated power supp ly units is an additional pressing concern to achieve its lightweightness and fl exibility.” Financial supporters for this research include National Natural Science Foundati on of China, National Key Research and Development Program of China.
WuhanPeople’s Republic of ChinaAsiaCyborgsElectrolytesEmerging TechnologiesInorganic ChemicalsMachine Lear ningWuhan University of Technology
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