Compared with von Neumann's computer architecture, neuromorphic systems offer more
unique and novel solutions to the artificial intelligence discipline. Inspired by biology, this …

Content-addressable memory (CAM) is a massively parallel searching device that returns
the address of a given search input in one clock cycle. Field-programmable gate array …

We propose a novel dynamic storage-based approximate search content addressable
memory (DASH-CAM) for computational genomics applications, particularly for identification …

We propose a novel edit distance-tolerant content addressable memory (EDAM) for energy-
efficient approximate search applications. Unlike state-of-the-art approximate search …

This paper proposes a novel Hamming distance tolerant content-addressable memory (HD-
CAM) for energy-efficient in-memory approximate matching applications. HD-CAM exploits …

Approximate computing is a way to build fast and energy efficient systems, which provides
responses of good enough quality tailored for different purposes. In this paper, we propose a …

We propose a novel resistive edit distance-tolerant content addressable memory for
computational genomics applications, particularly for detection and identification of …

Content-addressable memory (CAM) has been part of the memory market for more than five
decades. CAM can carry out a single clock cycle lookup based on the content rather than an …

The high volumes of data stored in the cloud, coupled with growing concerns about security
and privacy, have motivated research on homomorphic encryption (HE), ie, a technique that …

Software-defined networks (SDNs) are the future networks that enable the system to be
more flexible and programmable using a centralized controller. Field-programmable gate …