APNNS/IEEE R10/IEEE-GRSS Education Forum Series
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About:
Deep learning, a subset of AI and machine learning, mimics human knowledge acquisition by performing tasks such as classification and pattern recognition across various data types like photos, text, and audio. It automates traditionally human-intensive tasks like image description and audio transcription. In the hierarchy of AI domains, deep learning is a component of AI, which encompasses machine learning. Approximately 35% of businesses globally currently use AI, with another 42% exploring its potential. Generative AI, a specialized deep learning technology, relies on robust models trained on unlabeled data, offering adaptability and scalability that accelerates AI adoption. IBM's trials suggest generative AI can deliver value up to 70% faster than traditional methods. Many industries are turning to machine learning algorithms to meet evolving consumer demands and streamline operations.
In the age of deep learning, it's crucial to enhance the researcher's understanding of the latest advancements and applications in this rapidly evolving field. This workshop aims to gather researchers from around the world to learn from experienced faculty at prestigious universities about related areas of study. The workshop will span five days and will cover fundamental concepts of AI and Deep Learning and their application in different domains.
The APNNS Education Forum series presents the International Workshop on Deep Learning and Artificial Intelligence (DLAI8), designed for students, engineers, researchers, industry professionals, and scientists with a foundational understanding of machine learning and AI. The objective is to create a platform for interested attendees to stay abreast of the latest developments in deep learning and artificial intelligence. DLAI8 also facilitates networking opportunities. Building on the success of previous DLAI events since 2018, we are delighted to host the 8th DLAI this year. The event will be conducted in hybrid mode to accommodate participants from diverse countries and backgrounds. This workshop is organized jointly by IIIT Bhubaneswar, APNNS, IEEE R10 Professional Committee, and IEEE-GRSS.
The flyer is attached HERE for your reference.
Thank You
Registration is now open. Please CLICK HERE and complete the registration form to participate in DLAI8. Please keep your ID proof (full-time student/academician/ industry professional) handy before proceeding with the registration. The number of seats is limited to 60 only. So, reserve your seat as soon as possible. The deadline for registration and fee payment is extended up to 8th July 2024
Knowledge Sharing by
Hands-on Session by
Organizing Committee
Ashish Ghosh, IIIT Bhubaneswar, India
Chu Kiong Loo, University of Malaya, Malaysia
Jonathan H. Chan, KMUTT, Thailand
Kevin Wong, Murdoch University, Australia
Tingwen Huang, Texas A&M University, Qatar
Sung-Bae Cho, Yonsei University, South Korea
Our Sponsors and Organizers
The Venue
International Institute of Information Technology, Bhubaneswar was established by the Government of Odisha in 2006. It is designed to be a premier institute of Information Technology and related areas. The Institute has been converted into a unitary university by the Government of Odisha on 20th Jan 2014. Please visit www.iiit-bh.ac.in for more details.
For any query, please feel free to contact
Sanjay Saxena (IIIT Bhubaneswar)
Deepak Kumar Rout (IIIT Bhubaneswar)
via mail: dlai@iiit-bh.ac.in
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