Who can attend this IIT Mandi workshop? Professionals who are willing to work in the area of Artificial Intelligence/Machine Learning can join it.

Dr. Aditya Nigam is the coordinator of IIT Mandi workshop.

Extensive learning has been planned through comprehensive sessions organized by various experts, said coordinator of IIT Mandi workshop.

IIT Mandi workshop on great deep learning for executives

‘Most importantly the specially designed hand-on sessions will be a boon to completely novice learners. We hope that this workshop will effectively democratize AI/ML Learning.’

Dr. Aditya is also the Assistant Professor with School of Computing and Electrical Engineering at IIT Mandi.

What are the keypoints that will be covered in this IIT Mandi workshop? They are given below:

$ Basics of Machine learning & Neural Networks

$ Convolutional Neural Networks

$ Object Localisation and Detection

$ Autoencoders and Variational AutoEncoder

$ Generative Adversarial Networks

$ Recurrent Neural Network and Long Short-Term Memory, Siamese Network

$ Transformer Network.

Dr. Varun Dutt, Associate Professor with School of Computing and Electrical Engineering at IIT Mandi will the key speaker at the workshop.

Speaking about IIT Mandi workshop Dr. Varun said this workshop is the first of its kind sponsored by the iHub and IIT Mandi and the entire workshop series includes 6 such workshop events in 2021 in total.

The current workshop would provide students, academics, and industry personnel hands-on sessions on AI/ML topics that span a number of domains, including the human-computer interaction area, said Dr. Varun.

Dr. Aditya Nigam – Indian Institute of Technology Mandi

Dr. Arnav Bhavsar – Indian Institute of Technology Mandi

Dr. Dileep A.D. – Indian Institute of Technology Mandi

Dr. Chetan Arora – Indian Institute of Technology Delhi

Dr. Kamlesh Tiwari – Birla Institute of Technology and Science (BITS), Pilani

Due to the recent drift of technology and enhanced computation power this new paradigm of deep learning based architectures has been extensively explored.

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Different communities have exploited these architectures to solve almost all types of computer vision, image processing, and other problems.

Algorithms have to be implemented over Graphic Processing Unit (GPU) enabled systems to be optimized over very high dimensional parametric space.

Recently, a huge amount of work has been presented in reputed International conferences to exploit the power of Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Autoencoders, and other related deep learning tools to solve problems in the domains of Computer Vision, Image Processing, Speech Processing, and Natural Language Processing (NLP) among others.

Individuals willing to take part in IIT Mandi workshop will can register through the following webpage ‘https://www.iitmandi.ac.in/ADLCC2021/‘

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IIT Mandi workshop will have a selected batch of participants and the applicants will be shortlisted on a ‘first come first serve basis.’

The state of the art AI/ML techniques will be covered in this IIT Mandi workshop with extensive hands-on tutorial sessions for the participants.

IIT Mandi workshop may pave the way for a research internship opportunity at the iHub and IIT Mandi.

About IIT Mandi

Since the first batch of 97 students joined in July 2009, IIT Mandi has grown to currently host 125 faculty and 1,833 students who are enrolled in various programmes of studies in undergraduate, postgraduate and research programmes, and 1516 alumni.

IIT Mandi is a fully residential campus with 1.4 lakh sq. m. buildings completed. It has a guest house with 88 rooms, a 750-seater Auditorium, campus school, sports complex and hospital.

IIT Mandi has four Academic Schools and three major Research Centers. The Schools are: School of Computing and Electrical Engineering, School of Basic Sciences, School of Engineering, and School of Humanities and Social Sciences.

In 2017, the Department of Biotechnology, Government of India, selected IIT Mandi to lead the prestigious Rs. 10 crore FarmerZone® Project.

This collaboration agreement seeks to capitalize on the strengths of both institutions, broadening the learning experience for students enrolled in the Bachelor of Science (BS) programs at IIT Madras and undergraduate programs at IIT Palakkad.

To date, over 30,000 students are actively participating in this program, fostering a vibrant and interactive learning community, say sources from IIT Palakkad.

Director of IIT Madras

Welcoming this collaboration, Prof. V. Kamakoti, Director, IIT Madras, said IIT Madras is committed to reach quality education to every deserving student in our country. This initiative with IIT Palakkad is a very significant step towards reaching the goals.

We are enthusiastic about mentoring these bright minds. Our courses and internships have a strong emphasis on hands-on learning and innovation, said director of IIT Palakkad.

This collaboration with IIT Madras will build a robust foundation that equips students with the skills, insights, and networks they need to excel, he said.

Key features

The key features of this collaboration include:

Ø Credit Transfer from IITPkd Courses: IIT Madras BS (Data Science and Applications) students who meet the eligibility criteria can fulfil their credit requirements by taking courses at IIT Palakkad, promoting an exchange of academic resources and expertise.

Ø Access to IIT Madras Courses for IIT Palakkad Students: The MoU allows undergraduate students at IIT Palakkad to enrol in courses on Data Science and Programming from the IIT Madras BS program, ensuring equitable access to these cutting-edge skills.

Ø Support for Additional Initiatives: The collaboration will also facilitate student exchange programs, internship opportunities, and other joint initiatives.

Commitment

This collaboration between IIT Madras and IITPkd highlights the commitment of both institutions to enrich student experiences through cross-disciplinary exposure, practical learning, and research opportunities.

It aims to create a robust academic ecosystem that utilizes the expertise and infrastructure of both IITs.

Collaboration

IIT Madras has been collaborating with other leading institutions in the country to provide in-person learning opportunities for final-year students in the BS program.

IIT Gandhinagar, IIIT Hyderabad, and Chennai Mathematical Institute (CMI) have already made their campus courses available to eligible students from the IIT Madras BS (Data Science) degree program.

About IIT Palakkad

Established in 2015, the Indian Institute of Technology, Palakkad is dedicated to creating an environment that enables students and faculty to engage in the pursuit of knowledge, to dream, think, and innovate thereby becoming change agents for a better world.

Having begun with just 120 students in July 2015, IIT Palakkad has since grown into an establishment that is about a thousand students strong and with the best manpower in key positions.

IITPkd aims to become a multi-disciplinary institution with 5000 students by its 10th year. The Institute recognizes collective growth, in collaboration with industry and other academic institutions, as the need of the time and emphasizes blue-sky research and directed research as two essential pillars of technology development.

The Institute embraces a vision to be a leader in cross-disciplinary inquiries, and to contribute to the potential that India’s demographic dividend represents for the country and the world, which is embodied in the motto of the institute “Nurturing minds for a better world”.

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