《科学》 第393卷 第6806期 · 2026年7月2日 · 中文解读
物理内存计算:实时重建大脑皮层
Computing in a memory with physics · X. Zheng and I. Valov
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这篇讲什么
本文介绍了一项将神经网络动态系统集成到计算存储芯片中的研究,该芯片利用相变忆阻器的电导漂移实现毫秒级延迟的实时高保真皮层表面重建。
原文开头
An artificial neural network built into a computer memory chip reconstructs the human cortex with high accuracy in real time Xin Zheng1 and Ilia Valov1,2 C omputers predict physical processes by translat- ing them into mathematical equations, approxi- mating how numerical values change over an interval, and weighting the importance of specific features. Real-time computational simulations can closely replicate a phenomenon (1, 2). However, the to- tal time to complete computational tasks is longer than the time it takes for physical processes to occur (3). This latency is problematic if the goal is to computationally reconstruct the human brain’s cortical surface—the wrinkled, outermost layer of neural tissue—where electric pulses transmit infor- mation in tens of milliseconds intervals (4). …
摘自《科学》(Science)第393卷 第6806期 · 2026年7月2日,X. Zheng and I. Valov。仅引用开头一小段供了解文章,版权归原刊所有,全文请阅读原刊。

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