Cognitive Memories in Machines
Memories perform an integral role where human intelligence is concerned; they provide the basic blocks of information, pertinent to past experiences, that help humans predict and adjust to future events. The complexity of the network has resulted in limited progress being made for many years. The majority of this progress has been made by neuroscientists, biologists and computer scientists in trying to understand the biological significance of memory, with a lot less attention being applied to the practical problems of artificially intelligent system designs. There are limitless possibilities from formalizing the concepts in a carbon based memory, to a silicon based memory for developing new kind of systems of significance and interest to the progress of intelligence emulation in hardware.
The Intelligent Machines and Neuromorphic Engineering Laboratory (IMNE) at the Indian Institute of Information Technology and Management - Kerala, performs research in devices, circuits and systems with an aim to build complex cognitive systems in silicon. The principal investigator of the laboratory is Dr Alex Pappachen James, who is also a faculty member at the School of CSE, IIITM-Kerala. Some of the close collaborators of the lab are Prof/Dr Sima Dimitrijev, Prof/Dr. Joseph S Paul and Prof/Dr Elizabeth Sherly.
Workshop on Real-Time Imaging and Pattern Recognition, Decemeber 3-5, 2012.
Mentor the next generation of thought leaders at IEEE Circuits and Systems Outreach Workshop on Machine Intelligence.
Call for Papers- Information Fusion Journal 2012 : Special issue on Information Fusion in Medical Image Computing and Systems