Creator of galaxy-inspired algorithm torque clustering envisions a path toward AI beyond human blind spots

On a clear night in early 2019, in his hometown in China, Jie Yang, Ph.D., was thinking about how galaxies merge. In essence, they combine through mass, distance and gravity, with nothing else involved. Yang, now a postdoctoral research fellow at the University of Sydney, asked whether a clustering method could group itself the same… The post Creator of galaxy-inspired algorithm torque clustering envisions a path toward AI beyond human blind spots appeared first on Research & Development World .