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Summer School on Computational Advances in Deep Learning and Applications (CADLA 2023) at IIIT Allahabad [July 17-21]: Register by June 30

Summer School on CADLA 2023 at IIIT Allahabad

Summer School on CADLA 2023 at IIIT Allahabad

Registrations are open for Summer School on Computational Advances in Deep Learning and Applications (CADLA 2023) on 17-21 July. The last date of registration is 30 June.

2023 IEEE CIS Summer School on Computational Advances in Deep Learning and Applications (CADLA) is a one week short-term course organized by Computer Vision and Biometrics Lab (CVBL) at Indian Institute of Information Technology, Allahabad during 17-21 July 2023.

Breakthroughs in the field of data science and computing power over the past two decades has made computational intelligence and deep learning the most powerful tools in the field of artificial intelligence. Deep learning algorithms have shown promising success in numerous applications of Computer Vision, Natural Language Processing, Robotics and Automation.

Present day state-of-the-art algorithms have amazed everyone with their human level performance in classification, generating life-like images and videos, automated conversations and even beating world-champions at their own games. As the quest continues, deep learning has emerged out to be the most sought after skill in today’s industrial scenario, right from the Tech Giants to Startups.

This summer school aims to give the participants hands-on experience, right from the foundations, from some of the leading experts in the fields in the areas of computational intelligence, advances in deep architectures and applications using different modality of data.

The objectives of the summer school are highlighted as follows,

Interested candidates can register online via this page.

Registration Opens onMay 17, 2023
Registration DeadlineJune 30, 2023
Registration Confirmation Notification (First Come First Serve Basis)June 30, 2023
Summer School DateJuly 17-21, 2023

Email: srdubey@iiita.ac.in
Phone: +91-532-292-2211 (Office)

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