Scientists have developed a new, more energy-efficient way for AI algorithms to process data. His model may become the basis for a new generation of AI that learns like we do. Notably, these findings may also lend support to neuroscience theories surrounding memory's role in learning.
Daruwalla has been searching for new, unconventional ways to design AI that can overcome such computational obstacles. And he might have just found one. "In our brains, our connections are changing and adjusting all the time," Daruwalla says."It's not like you pause everything, adjust, and then resume being you."
Daruwalla's design may help pioneer a new generation of AI that learns like we do. That would not only make AI more efficient and accessible -- it would also be somewhat of a full-circle moment for neuroAI. Neuroscience has been feeding AI valuable data since long before ChatGPT uttered its first digital syllable. Soon, it seems, AI may return the favor.