MIT Scientists Build Self-Organizing AI

Scientists at MIT's McGovern Institute and ICoN Center publish research on Oct. 9 in PNAS showing artificial neural networks can build their own learning machinery. The team demonstrates that randomly connected units reshape into effective networks using simple rules like 'neurons that fire together wire together,' achieving performance similar to gradient descent without external design.