In this paper, we propose a new method of applying the XOR and XNOR gates on exponentially large superpositions in Instantaneous Noise-Based Logic. These are repeatable, they can achieve an exponential speedup computation with polynomial hardware complexity.

Deep learning has celebrated resounding successes in many application areas of relevance to the Internet Things (IoT), such as computer vision and machine listening. These technologies must ultimately be brought directly edge fully harness power deep for IoT. The obvious challenge is that techniques can only implemented on strictly resource-constrained devices if models are radically downsized....

Low power design of VLSI circuits has been identified as a critical technological need in recent years due to the high demand for portable consumer electronics products. In this regard many innovative designs for basic logic functions using pass transistors and transmission gates appeared in the literature recently. But they were all designed mostly by intuition and cleverness of the designer. ...

Component Based Software Development is important area in software development. In this paper, we describe various algorithms and techniques for efficiently retrieval of components from the component repository. We discuss XNOR similarity function, clustering algorithms like k-mean, K-medoid, K-mode and supervised leaning algorithm like support vector machine. This algorithm takes input as soft...

A variety of logic operations such as XNOR, NOR, AND, NAND, NOT have been designed with pH as an external modulator by choosing thiazole orange (TO) and a c-kit2 promoter quadruplex as two inputs and fluorescence signals of pyridyl bis-indole amide (PBIA) and TO as two outputs.

Although deep neural networks (DNNs) are being a revolutionary power to open up the AI era, the notoriously huge hardware overhead has challenged their applications. Recently, several binary and ternary networks, in which the costly multiplyaccumulate operations can be replaced by accumulations or even binary logic operations, make the on-chip training of DNNs quite promising. Therefore there i...

This paper presents a comparative research of low-power and high-speed full adder cells which are based on XOR-XNOR algorithm. The adder cells are decomposed into small modules and all of them have an in-depth analysis. Several designs of each of them are implemented, optimized, simulated and analyzed separately. We also design a novel XORXNOR module built upon bootstrapped pass transistor logi...

Quantum dot cellular automata is an emerging nanoelectronic computational architecture which has the potential of faster speed, smaller size and minimum power consumption compared to transistor-based technology. In QCA, binary information are encoded as electronic charge configuration of a cell. Fundamental unit in building of QCA circuit is a QCA cell. A QCA cell is an elementary building bloc...