Our research focuses on designing state-of-the-art RTL-level computer architectures by introducing low-power, high-precision logic blocks and exploring emerging memory technologies. This approach addresses the pressing need for energy-efficient, high-performance processing in fields ranging from biomedical applications to AI-based models. By developing specialized logic circuits, we enhance computational precision and speed while minimizing power consumption—key for edge computing and mobile and wearable devices. Additionally, we investigate various memory technologies, including non-volatile and resistive memory, to improve data retention and access times. These memory solutions are essential for reducing bottlenecks associated with traditional memory units and support scalable, low-power computing. We aim to drive the next generation of AI accelerators, meeting advanced AI applications’ computational and energy efficiency demands.
