Robotics & Machine Learning Daily News2024,Issue(Apr.29) :66-67.

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)

Robotics & Machine Learning Daily News2024,Issue(Apr.29) :66-67.

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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Abstract

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.”

Key words

West Bengal/India/Asia/Cyborgs/Emerg ing Technologies/Machine Learning/Department of Electrical and Communication E ngineering

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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