Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...

Researchers from the Institute for Artificial Intelligence at Peking University, led by Sun Zhong, have developed a high-precision and scalable analogue matrix computing chip based on RERAM, which ...

Many modern artificial intelligence (AI) applications, such as surgical robotics and real-time financial trading, depend on the ability to quickly extract key features from streams of raw data. This ...

Abstract: This paper investigates sparse matrix-vector (SpMV) multiplication algorithm performance for unstructured sparse matrices. The development of an SpMV multiplication algorithm for this type ...

Purdue’s AI Microcredentials Program offers quick and convenient online courses that cover the fundamentals of artificial intelligence and its applications. With an average completion time of only 15 ...

Abstract: Distributed computations, such as distributed matrix multiplication, can be vulnerable to significant security issues, notably Byzantine attacks. These attacks may target either worker nodes ...