Expert Talks on Artificial Intelligence and Machine Learning

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Centre of Excellence – Artificial Intelligence & Machine Learning (CoE - AIML) at Institute of Infrastructure, Technology, Research And Management (IITRAM), Ahmedabad in association with IEEE Computational Intelligence Society Gujarat Chapter and IEEE Gujarat Section Jt. Chapter of IE-IA-PEL Societies invites you to the expert talks in the broad domain of Artificial Intelligence and Machine Learning on 7 Feb 2023 during 2:30 - 4:30 PM at Room #S-101, IITRAM Ahmedabad

“AI and Deep Learning in Industrial Automation” by Dr. Priyanka Sharma (2:30 PM)

“Deep learning approaches for Atmospheric Corrections” by Prof. Mehul Raval (3:30 PM)



  Date and Time

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  • Date: 07 Feb 2023
  • Time: 02:30 PM to 04:30 PM
  • All times are (UTC+05:30) Chennai
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  • IITRAM, Near Khokhra Circle
  • Maninagar East
  • Ahmedabad, Gujarat
  • India 380026
  • Building: IITRAM
  • Room Number: S-101
  • Click here for Map

  • Contact Event Host
  • Co-sponsored by [1] IEEE Computational Intelligence Society Gujarat Chapter, [2] Institute of Infrastructure, Technology, Research And Management (IITRAM), Ahmedabad
  • Starts 04 February 2023 12:00 PM
  • Ends 07 February 2023 11:00 AM
  • All times are (UTC+05:30) Chennai
  • No Admission Charge


  Speakers

Dr. Priyanka Sharma, Vice President Projects – Artificial Intelligence, Samyak Infotech Pvt. Ltd., Ahmedabad of Samyak Infotech Pvt. Ltd., Ahmedabad

Topic:

AI and Deep Learning in Industrial Automation

Abstract: Artificial intelligence (AI) and Deep Learning have the potential to revolutionize industrial automation by enabling machines to perform tasks that were previously only possible for humans to perform. This can lead to increased efficiency, accuracy, and speed in manufacturing processes, as well as the ability to handle a wider range of materials and products. Some potential applications of AI and deep learning in industrial automation includes: Predictive maintenance, Quality control, Process optimization and Decision making. In manufacturing setups, deep learning algorithms can be trained to identify defects in products, ensuring that only high-quality products reach the consumer. Overall, the integration of AI and deep learning in industrial automation has the potential to significantly improve efficiency and productivity, leading to cost savings and increased competitiveness for businesses. Learning outcome for participants:
Towards the end of the Talk the participants will learn 1. Fundamentals of Artificial Intelligence (AI), Machine Learning and Deep Learning 2. Understanding applications of Deep Learning 3. Unravel the mystery behind accuracy of deep learning models 4. Case studies on use of AI and Deep Learning in Industrial automation.

Email:

Address:Ahmedabad, India, 380006

Prof. Mehul Raval, Associate Dean - Experiential Learning and Professor, Ahmedabad University of Ahmedabad University

Topic:

Deep learning approaches for Atmospheric Corrections

Abstract: Surface reflectance(SR) is the most basic remotely sensed parameter. The talk will explore the hypothesis of
using deep learning for obtaining SR from the top of the atmosphere (ToA) value captured by the satellite. It will discuss
architecture which can solve this inverse ill-posed problem.

More details: M. Shah, M. S. Raval and S. Divakaran, "A Deep Learning Perspective to Atmospheric Correction of Satellite
Images," IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 346-349, DOI:
10.1109/IGARSS46834.2022.9884900

Email:

Address:Ahmedabad, India, 380009






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