As data movement operations and power-budget become key bottlenecks in the design of
computing systems, the interest in unconventional approaches such as processing-in …

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 …

Advanced computing systems have long been enablers for breakthroughs in artificial
intelligence (AI) and machine learning (ML) algorithms, either through sheer computational …

Nanopore sequencing is a widely-used high-throughput genome sequencing technology
that can sequence long fragments of a genome into raw electrical signals at low cost …

This article presents an overview of circuit-level techniques used for approximate computing
(AC), including both computation and data storage units. After providing some background …

In-memory computing is an emerging computing paradigm that overcomes the limitations of
exiting Von-Neumann computing architectures such as the memory-wall bottleneck. In such …

Reconfigurable nanotechnologies such as Silicon Nanowire Field Effect Transistors (FETs)
serve as a promising technology that not only facilitates lower power consumption but also …

The next generation in computing era will be within the realm of internet of things (IoT). High
density, near-zero leakage, and high endurance are some of the important properties of …

The complexity of the computational problems is rising faster than the computational
platforms' capabilities which are also becoming increasingly costly to operate due to their …

Computing based on traditional approaches has hit its limits in terms of scalability and
power consumption. For this reason, new computing paradigms have started to emerge that …