Toward a brain-like AI with hyperdimensional computing

The human brain has always been under study for inspiration of computing systems. Although there's a very long way to go until we can achieve a computing system that matches the efficiency of the human brain for cognitive tasks, several brain-inspired computing paradigms are being researched. Convolutional neural networks are a widely used machine learning approach for AI-related applications due to their significant performance relative to rules-based or symbolic approaches. Nonetheless, for many tasks machine learning requires vast amounts of data and training to converge to an acceptable level of performance. A Ph.D. student from Khalifa University, Eman Hasan, is investigating another AI computation methodology called'hyperdimensional computing," which can possibly take AI systems a step closer toward human-like cognition.