Abstract:
Human brain continues to live with an image as the one which is inscrutable & very poorly understood. Hence theories concerning the same are available in plenty. However, without unraveling the mystery of the self learning process as well as that of the information processing capability of the same, the field of Artificial Intelligence (AI) will continue to reside at a far distance from its ultimate goal. The AI community might, with great optimism, wait for the arrival of enough computing power to fulfill its promise of building truly intelligent machines. However, without getting rid of its confusion vis-a-vis what constitutes intelligence & the associated misinterpretation concerning the functioning of neocortex- the subset of human brain responsible for arming us with intelligence, that wait will never come to an end and instead will acquire an everlasting status.

How do the neurons, immensely slow as compared to transistors, but faster and more powerful for majority of the situations? The answer lies in the fact is that unlike computers, the human brain doesn’t resort to computation while solving problems. Instead, it relies upon retrieval of answers from its memory
This paper will dwell on the origin of Artificial Intelligence by stating the lessons it can learn from the invention of Artificial Flight. Subsequently the need to modify the concept of “intelligence as computation” will be touched. Based on those the pros-and-cons of the present state-of-the-art of Artificial Neural Networks will be discussed and the scope of building a truly intelligent machine will be explored.

Brief Biography of the Speaker:
Prof. Suash Deb did his Bachelor of Engineering (B.E.) in Mechanical Engineering from Jadavpur University, Calcutta, India & Master of Technology (M.Tech.) in Computer Science from the University of Calcutta. He had been to Stanford University, USA as a UN Fellow for advanced study in the field of computer vision. He was also an Asian Expert of the Advanced Research Project Agency (ARPA), Dept. of Defense, Federal Govt. of USA. He has both industrial & academic experience with more emphasis on the later. He worked at the National Centre for Knowledge Based Computing as a Scientist. Currently he is a Professor of the Dept. of Computer Science & Engineering, National Institute of Science & Technology (NIST), Orissa, India. He is also the coordinator of Bioinformatics Research of NIST. He specializes in Soft Computing, Artificial Intelligence, Bioinformatics and the related fields.
A Senior Member of the IEEE (USA), Prof. Deb is currently on the editorial board of numerous reputed International Journals like Intl. Journal of Information Technology (Singapore), Intl. Journal of Computer Science & Engineering Systems (Taiwan) , Journal of Convergence Information Technology, Korea, Journal of Automation & systems Engineering etc. He is also the Regional (India & Subcontinent) Editor of Neural Computing & Applications as well as the Advisory Board Members of Intl. Journal of Intelligent Computing in Medical Sciences & Image Processing. Previously he also served the IEEE Robotics & Automation as its Regional editor & also the journal Robotics & Computer Integrated Manufacturing as an Associate Editor. He has traveled widely across the globe and delivered Plenary Talk/ Tutorial Address etc. at various National/International Conferences. He is attached with numerous International conferences as Member-Advisory Board, Program Committee etc & listed on a number of Who's Whos.