Kyle Daruwalla developed a new, more energy-efficient AI algorithm that processes data based on how the human brain takes in new information. The design allows individual AI "neurons" to receive feedback and adjust on the fly, reducing the need for data to travel long distances in neural networks. This could lead to a new generation of AI that learns like humans.
Daruwalla's research findings were published in the journal Frontiers in Computational Neuroscience.