November 2, 2024

Efficient AI Ahead: USC’s Memristor Breakthrough Transforms Analog Computing

Credit: SciTechDaily.com Design combines the finest of digital and analog computing and delivers >> 10x energy efficiency.While many of computing in the world is still digital, the data around us is caught in analog via sensors– images through cams, temperature, and noise, for example and has actually to be converted in a digital kind for precision. What if newly developed analog chips could supply the precision of digital computing with the high-speed and energy-saving advantages of analog computing?Advances in Memristor TechnologyIf a computer chip is made up of various circuits, a memristor is a relatively small-sized element of a circuit that shops and procedures information very effectively. The development will likewise enable new applications beyond AI and ML, such as clinical computing for such as weather condition forecasting.Reference: “Programming memristor arrays with arbitrarily high accuracy for analog computing” by Wenhao Song, Mingyi Rao, Yunning Li, Can Li, Ye Zhuo, Fuxi Cai, Mingche Wu, Wenbo Yin, Zongze Li, Qiang Wei, Sangsoo Lee, Hengfang Zhu, Lei Gong, Mark Barnell, Qing Wu, Peter A. Beerel, Mike Shuo-Wei Chen, Ning Ge, Miao Hu, Qiangfei Xia and J. Joshua Yang, 22 February 2024, Science.DOI: 10.1126/ science.adi9405The paper, “Programming memristor arrays with arbitrarily high accuracy for analog computing” was featured in Science, was written with Wenhao Song, Ye Zhuo, Peter A. Beerel, Mike Shuo-Wei Chen at USC, along with Qiangfei Xia at University of Massachusetts, Mark Barnell and Qing Wu at Air Force Research Lab, Information Directorate, Rome, NY, USA.