As Moore's Law nears its end, we are searching for alternative technologies and
architectures to further increase performance. Cryogenic computing has gained …

In the acceleration of deep neural network training, the graphics processing unit (GPU) has
become the mainstream platform. GPUs face substantial challenges on Graph Neural …

The metaverse has recently gained increasing attention from the public. It builds up a virtual
world where we can live as a new role regardless of the role we play in the physical world …

Operating circuits under cryogenic conditions is effective for a large spectrum of
applications. However, the refrigeration requirement for the cooling of cryogenic systems …

In the acceleration of deep neural network training, the graphics processing unit (GPU) has
become the mainstream platform. GPUs face substantial challenges on Graph Neural …

Cryogenic computing, which runs a computer device at an extremely low temperature, is
highly promising thanks to the significant reduction of the wire latency and leakage current …

Adiabatic Quantum-Flux-Parametron (AQFP) is a superconducting logic with extremely high
energy efficiency. By employing the distinct polarity of current to denote logic '0'and '1', AQFP …

As a high-performance application of low-temperature superconductivity, superconducting
single-flux-quantum (SFQ) circuits have high speed and low-power consumption …

The slowing and forecasted end of Moore's Law have forced designers to look beyond
simply adding transistors, encouraging them to employ other unused resources as a manner …

Specialization is the key approach for continued performance growth beyond the end of
Dennard scaling. Academics and industry are hence continuously proposing new …