Online seminar on Advances in Artificial Intelligence at Aligarh Muslim University
Aligarh: Adept resource persons discussed the game-changing impacts in subtle yet sweeping ways of the Artificial Intelligence in the three-day online seminar on ‘Advances in Artificial Intelligence and Machine Learning’ organised by the Department of Computer Engineering and Interdisciplinary Centre for Artificial Intelligence, Aligarh Muslim University (AMU).
“The objective of the seminar was to provide a platform to discuss the theory and application of artificial intelligence and machine learning in solving real-world problems,” said Prof M M Sufyan Beg, Principal, Zakir Husain College of Engineering and Technology (ZHCET), AMU.
According to Prof Rashid Ali (Coordinator, Centre for Artificial Intelligence), over one thousand participants from different academic backgrounds registered for the seminar, which featured seven invited talks by distinguished people from academics and industry.
Dr Fahim Mohammad (Sr. Data Scientist, Intel Corporation, USA) delineated recent advances in Deep Learning approaches to solve image localization and segmentation problems.
Dr Ahmad Yazdan (University of Toledo, USA) spoke on the applications of machine learning and cyber security.
Mr Ghulam Hussain (Founder, Atalgo Computing Pvt. Ltd., Australia) elaborated artificial intelligence in healthcare industry.
Mr Faisal Saleem (Phoenix, USA) discussed the smart-city infrastructure needs for connected and automated vehicles.
Dr Kamran Saleem (Intel Corporation, Austin, USA) shared ideas on the Circuit Design and Test Techniques to Enable Artificial Intelligence Hardware Acceleration.
Mr Syed Yasin (Chief Scientist, Artificial Intelligence, SeyfertSoft, India) provided a concise, practical and uniform understanding of Artificial Intelligence.
Mr Aman Yousuf (Senior Manager, Data Engineering and Analytics, Iron Mountain, Bengaluru, India) spoke on ‘Artificial Intelligence/Machine Learning: Gap between Theory and Practice’.
Dr Nadeem Akhtar extended the vote of thanks.