Hyperdimensional Computing Reimagines Artificial Intelligence

Despite the wild success of ChatGPT and other large language models, the artificial neural networks (ANNs) that underpin these systems might be on the wrong track. For one, ANNs are "super power-hungry," said Cornelia Fermüller, a computer scientist at the University of Maryland. "And the other issue is [their] lack of transparency." Such systems are so complicated that no one truly understands what they're doing, or why they work so well. This, in turn, makes it almost impossible to get them to reason by analogy, which is what humans do--using symbols for objects, ideas, and the relationships between them.