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AICTE, CTE join to provide ‘world-class educational services’ to students, faculty; bridge digital skills gap

AICTE, CTE signed an agreement on July 29, 2023, to provide world-class educational opportunities across technical institutions in India. NEW DELHI:  The Consortium for Technical Education (CTE) has partnered with the All India Council for Technical Education (AICTE), under the Ministry of Education to impart educational services using technology. The agreement seeks to provide world-class educational opportunities to students across technical institutions in India.   The collaboration will bridge the digital skills gap and equip students with the necessary expertise. AICTE through its existing platforms will grant higher technical educational institutions and their students access to CTE's proprietary Digital Infrastructure Platforms. These platforms contain training programmes,...... To Read the Full Article:  https://news.careers360.com/aicte-cte-join-provide-world-class-educational-services-students-faculty-bridge-digital-skills-gap

NDLI Online Quiz 7: EIC

Date: 28th July 2023 List of Winners: Name of the Student Score Akhilesh Vinayak Badiger 20 / 20 Sumit Mankar 20 / 20 Mihir Baravkar 20 / 20 Shivam Gupta 20 / 20 Melroy Chiltambi 20 / 20 Anish Gupta 20 / 20 Hrushikesh Auti 20 / 20 Diya Dave 20 / 20 Siddhant 20 / 20 Aarya Bamne 20 / 20 Urvashi Jain 20 / 20 Lohar Deepak 20 / 20 Zubin 20 / 20 Riya duggad 20 / 20 SAILEE DATTARAM KAPDOSKAR 20 / 20 Parag extcA 20 / 20 Kunal jadhav 20 / 20 Paridhi Nagori 20 / 20 Vaishnavi Jawre 20 / 20 Soham Kawle 20 / 20...

Top Searches from “IEEE Xplore Digital Library" - 21st July 2023

  SN RESEARCH DOMAIN RESOURCE MOST CITED BY PAPERS 1 MOST CITED BY PAPERS 2 1 IMAGE PROCESSING IEEE XPLORE S. Ren, K. He, R. Girshick and J. Sun, "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks," in  IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 39, no. 6, pp. 1137-1149, 1 June 2017. doi: 10.1109/TPAMI.2016.2577031 keywords: {Proposals;Object detection;Convolutional codes;Feature extraction;Search problems;Detectors;Training;Object detection;region proposal;convolutional neural network}, URL:  http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7485869&isnumber=7919342 S. J. Pan and Q. Yang, "A Survey on Transfer Learning," in  IEEE Transactions on Knowledge and Data Engineering , vol. 22, no. 10, pp. 1345-1359, Oct. 2010. doi: 10.1109/TKDE.2009.191 keywords: {Machine learning;...