中英對照讀新聞》Evolution of circuits for machine learning 機器學習電路的進化
Artificial intelligence （AI） has allowed computers to solve problems that were previously thought to be beyond their capabilities. There is therefore great interest in developing specialized circuits that can complete AI calculations faster and with lower energy consumption than can current devices.
Writing in Nature, Tao Chen et al. demonstrate an unconventional electrical circuit in silicon that can be evolved in situ to carry out basic machine-learning operations.
Previous work by some of the current authors produced isolated charge puddles from a collection of gold nanoparticles that were randomly deposited on a silicon surface, with insulating molecules between them. These puddles are at the heart of Chen and colleagues’ circuit design.