首页|Findings from Department of Electrical and Communication Engineering Update Unde rstanding of Machine Learning (First Principle and Deep Learning Based Switching Property Prediction of Optical Bio-molecular Switch)
Findings from Department of Electrical and Communication Engineering Update Unde rstanding of Machine Learning (First Principle and Deep Learning Based Switching Property Prediction of Optical Bio-molecular Switch)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of West Bengal, India, by NewsRx editors, research stated, “Electronic characterizationof bio-molecular nanoscale devices is important in the new edge of nanotechnology and the field o fnanoelectronics. In this new era, the molecular transmission properties of the Adenine bio-molecular opticalswitch are predicted using Density Functional The ory along with Non-Equilibrium Green’s Function-basedFirst Principle approach a nd this phenomenon is supported with Machine Learning based algorithms.”
West BengalIndiaAsiaCyborgsEmerg ing TechnologiesMachine LearningDepartment of Electrical and Communication E ngineering
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