A Special Issue edited by Prof. Ilia Polian (ITI), Prof. John P. Hayes (University of Michigan, Ann Arbor, USA), Dr. Vincent T. Lee (Facebook Reality Labs, Redmond, USA), and Prof. Weikang Qian (Shanghai Jiao Tong University, Shanghai, China) has appeared in IEEE Design & Test, a magazine published by the Institute of Electrical and Electronic Engineers. The Issue's topic is Stochastic Computing for Neuromorphic Architectures. It explores the question how to design better hardware architectures for Artificial Intelligence and Machine Learning applications when resources such as available chip area, power and energy are restricted. The papers in this Special Issue focus on a particular technology: Stochastic Computing (SC), which offers very compact and reliable basic arithmetic operations found in neuromorphic applications. A highlight is the keynote by Brian Gaines, the inventor of Stochastic Computing. Further published papers, accepted after two rounds of peer-review, cover various aspects of SC, from improved number encodings to leveraging nano-devices for more efficient computations.
The Special Issue is available through IEEEXplore (subscribers only): SC and SC-enabled artificial-intelligence and machine-learning circuits are a focus of Prof. Polian's group at ITI. The Special Issue continues an activity that started with a workshop with the same name held in 2020: SCONA 2020
