Superconducting electronics have garnered significant attention recently due to their exceptional speed and energy efficiency. They play a vital role in scaling quantum computers to thousands of qubits and offer unique advantages for high-performance ...

The unprecedented success of artificial intelligence (AI) enriches machine learning (ML)-based applications. The availability of big data and compute-intensive algorithms empowers versatility and high accuracy in ML approaches. However, the data ...

This work will present an embedded neuromorphic platform developed for long-term unintended gamma radiation monitoring. We describe the hardware architecture and supporting software developed to demonstrate neuromorphic computing for applications where ...

Integrated power delivery methodology is a promising approach to achieve high power efficiency as the semiconductor industry targets higher power density and increased heterogeneity across different load characteristics. High quality and densely ...

Computer architects continue to explore newer ways to provide the abstraction of a large but fast memory to the processor. This work proposes a memory system that achieves this abstraction using a hybrid cache – a combination of an SRAM array and a Spin-...