.... analog computing concepts continue to be of use, ....into the future:
In a research article in Science (AAAS) , Feb. 23, 2024 :
Programming memristor arrays with arbitrarily high precision for analog computing
In Section Research Article | In-Memory Computing
Abstract:
" In-memory computing represents an effective method for modeling complex physical systems that are typically challenging for conventional computing architectures but has been hindered by issues such as reading noise and writing variability that restrict scalability, accuracy, and precision in high-performance computations. We propose and demonstrate a circuit architecture and programming protocol that converts the analog computing result to digital at the last step and enables low-precision analog devices to perform high-precision computing. We use a weighted sum of multiple devices to represent one number, in which subsequently programmed devices are used to compensate for preceding programming errors. With a memristor system-on-chip, we experimentally demonstrate high-precision solutions for multiple scientific computing tasks while maintaining a substantial power efficiency advantage over conventional digital approaches. " ...
and
" Many complex physical systems can be described by coupled nonlinear equations that must be analyzed simultaneously at multiple spatiotemporal scales. However, these systems are often too complicated for analytical techniques, and direct numerical computation is hindered by the ¡°curse of dimensionality,¡± which requires exponentially increasing resources as the size of the problem increases. These systems range from nanoscale problems in material modeling to large-scale problems in climate science. Although the need for accurate and high-performance computing solutions is growing, traditional von Neumann computing architectures are reaching their limit in terms of speed, energy consumption, and infrastructure. " ...
