VCAIR,CSE Department organize five-day online FEP on “AI & ML-Industry Practices & Perspectives”
To meet the ever-demanding needs of knowledge industry, Faculty Enablement Programmes (FEP) have always been an effective tool to enhance
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Author: Dr.Ramani Bai V, Head-VCAIR
VCAIR’s two-week workshop on Python for machine learning
The Vidya Center for Artificial Intelligence and Research (VCAIR), in association with AI Club organized a two-week online workshop on
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V-CAIR conducts webinar on “AI Interdisciplinary Projects & Opportunities”
The V-CAIR (Vidya Centre for Artificial Intelligence and Research), as part of its Wednesday AI programme, organised a webinar on
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V-CAIR organises webinar on deep and machine learning projects and opportunities
A webinar on “Machine and Deep Learning: Projects and Opportunities” was conducted on 6 May 2021 by V-CAIR (Vidya Centre
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University of Texas professor delivers a talk on “Artificial Intelligence: Global Opportunities” to Vidya students
In pursuance of Vidya’s efforts to provide opportunities to students to access luminaries in the global academic world, the Vidya
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VCAIR helps Polytechnic College to organise ATAL FDP on artificial intelligence
In the end it was an AICTE sponsored FDP organised by VCAIR in a Polytechnic College! The story goes something
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Vidya faculty members participate in workshop on Data Analytics by Bennet University
Vidya Centre for AI Research (VCAIR), in partnership with leadingindia.ai, has facilitated a workshop on Data Analytics offered by Bennett
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“Wednesday AI” organises workshop on Deep Learning
“Wednesday AI” organised a workshop titled “Deep Learning: Hands on Session #2: Convolution Neural Networks” on 19 February 2020. The
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CSE Dept organises workshop on Blockchain
Vidya Center for Artificial Intelligence and Research (VCAIR), in association with leadingindia.ai, conducted a two-day workshop on Blockchain during 1
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On exploring research and projects through ML and DL
A technical talk on Exploring Research and Projects through Machine Learning and Deep Learning was conducted on 29 January 2020
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