Sungkyunkwan University researchers develop technology for brain-like balanced learning

A Sungkyunkwan University research team has developed a technology that can strengthen or weaken the memory of an artificial intelligence (AI) semiconductor device simply by changing the color of light. The university said Thursday that the team has devised a next-generation synapse for artificial neural networks by utilizing the “disorder” and “defect” characteristics — long regarded as inherent challenges of semiconductor materials — as a means of maintaining memory homeostasis. It added that the technology mimics the human brain by allowing important information to be retained for a long time, while weakening access to unnecessary information. The team, led by professors Jo Sae-byeok and Yang Woo-seok at the university’s School of Chemical Engineering, said the technology is expected to be applied to next-generation artificial intelligence chips to consume less power, as well as “see-and-remember” artificial eyes. The findings were published May 18 in the international science journal Nature Communications under the title, “Disorder-mediated Non-equilibrium Photocu