• AnDi architecture integrates analogue and digital computing cores to overcome limitations of analogue CIM in handling complex regression tasks requiring precise floating-point calculations.
• The dual-domain floating-point (DDFP) processor enables FP compatibility and decouples NN algorithms from hardware, allowing training without considering specific architectures.
• Fine-grained dual-domain mapping optimizes weight allocation between digital and analogue cores, improving energy efficiency and reducing memory management overhead.
• NN feature-enhancing technique mitigates noise accumulation in analogue CIM by deploying lightweight enhancing layers on digital cores.