Abstract: In the computing-in-memory (CIM) field, floating-point (FP) CIM is afflicted with high computing latency and energy consumption due to the intricate procedures involved in exponent ...

Abstract: Physics-informed neural networks (PINNs) have great potential for flexibility and effectiveness in forward modeling and inversion of seismic waves. However, coordinate-based neural networks ...