Researchers develop new, more energy-efficient way for AI algorithms to process data

Daruwalla's AI design mimics the human brain by allowing individual AI "neurons" to receive feedback and adjust on the fly, similar to how synapses function in our brains3. This efficient data processing method enables AI to learn like humans, making it more efficient and accessible4.

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.