An Alternative that can make AI more Power-Efficient?
An Alternative that can make AI more Power-Efficient?
The human brain is a remarkable learning system estimated to operate on 20 watts of power. This is far more efficient than modern-day Artificial Neural Networks involved in learning processes. This difference in biological and artificial learning systems has inspired a new stream of research on Artificial Spiking Neural Networks (ASNN).
Similar to the brain, ASNNs function with precisely timed spikes (action potentials) to represent information. However, ASNNs are yet to be mainstream due to the lack of learning techniques that could make use of the information encoded in spikes. This workshop explores the possibility of emulating plasticity techniques such as Spike Time Dependent Plasticity and Intrinsic Plasticity found in the brain to develop high-performing and energy-efficient ASNNs for AI applications.
Unraveling the Mysteries of Biological Data
The workshop “Introduction to Bioinformatics: Unraveling the Mysteries of Biological Data” is designed to provide participants with a basic understanding of the principles and applications of Bioinformatics. In this workshop, participants will delve into the fundamental concepts in Molecular Biology and Bioinformatics. Moreover, through a combination of lectures, hands-on exercises, and interactive discussions, participants will gain practical skills in bioinformatics data retrieval, sequence alignment, gene function prediction, and protein network analysis.