An Electronic Ising Machine
Matt Bowring, Ben Anderson, Ben Tiffany
We develop a custom printed circuit board (PCB) for a low-power and high-speed accelerator of NP-Hard graph problems. The architecture implements an annealing-based computing paradigm using a network of nonlinear electronic oscillators whose phase dynamics converge to stable configurations that encode solutions. We review the theoretical framework, and present our circuit design, simulations, and experimental results. We further highlight some key future research directions for the emerging developing of computing architectures based on energy minimization.
[DC] bRight XR: How to train designers to keep on the bright side?
Romain Rouyer, David Bourguignon, Stéphanie Fleck
This research project aims to promote ethical principles among designers engaged in adaptive-XR by providing tools for self-assessment. We introduce a Design-Based Research (DBR) methodology to build bRight-XR, a framework including a heuristic evaluation matrix and based on learning theory.
Electrical frequency discrimination by fungi Pleurotus ostreatus
Dawid Przyczyna, Konrad Szacilowski, Alessandro Chiolerio
et al.
We stimulate mycelian networks of oyster fungi Pleurotus ostreatus with low frequency sinusoidal electrical signals. We demonstrate that the fungal networks can discriminate between frequencies in a fuzzy or threshold based manner. Details about the mixing of frequencies by the mycelium networks are provided. The results advance the novel field of fungal electronics and pave ground for the design of living, fully recyclable, electron devices.
The Rise of Quantum Internet Computing
Seng W. Loke
This article highlights quantum Internet computing as referring to distributed quantum computing over the quantum Internet, analogous to (classical) Internet computing involving (classical) distributed computing over the (classical) Internet. Relevant to quantum Internet computing would be areas of study such as quantum protocols for distributed nodes using quantum information for computations, quantum cloud computing, delegated verifiable blind or private computing, non-local gates, and distributed quantum applications, over Internet-scale distances.
Towards proteinoid computers
Andrew Adamatzky
Proteinoids -- thermal proteins -- are produced by heating amino acids to their melting point and initiation of polymerisation to produce polymeric chains. Proteinoids swell in aqueous solution into hollow microspheres. The proteinoid microspheres produce endogenous burst of electrical potential spikes and change patterns of their electrical activity in response to illumination. The microspheres can interconnect by pores and tubes and form networks with a programmable growth. We speculate on how ensembles of the proteinoid microspheres can be developed into unconventional computing devices.
Fuzzy Membership Function Implementation with Memristor
Azamat Marlen, Anuar Dorzhigulov
The neuro-fuzzy system is network which resemble human-like operation of the naturally imprecise data and decision-making. This paper proposes implementation of the fundamental module of the neuro-fuzzy system - membership function (MF), realized as a analog electronic hardware. The memristive crossbar arrays are used as the architecture for proposed MF analog circuit. The main advantages of the memristive crossbar circuit are size, energy efficiency and fault tolerance compared to another analog alternatives. The conducted crossbar SPICE simulation with MS model of the memristor results confirm the performance and highlighted benefits of the proposed circuit.
Computing with Chemical Reaction Networks: A Tutorial
Robert Brijder
Chemical reaction networks (CRNs) model the behavior of chemical reactions in well-mixed solutions and they can be designed to perform computations. In this tutorial we give an overview of various computational models for CRNs. Moreover, we discuss a method to implement arbitrary (abstract) CRNs in a test tube using DNA. Finally, we discuss relationships between CRNs and other models of computation.
Comments on "Dual-rail asynchronous logic multi-level implementation"
P Balasubramanian
In this research communication, we comment on "Dual-rail asynchronous logic multi-level implementation" [Integration, the VLSI Journal 47 (2014) 148-159] by expounding the problematic issues, and provide some clarifications on delay-insensitivity, robust asynchronous logic, multi-level decomposition, and physical implementation.
Computing via material topology optimisation
Alexander Safonov, Andrew Adamatzky
We construct logical gates via topology optimisation (aimed to solve a station problem of heat conduction) of a conductive material layout. Values of logical variables are represented high and low values of a temperature at given sites. Logical functions are implemented via the formation of an optimum layout of conductive material between the sites with loading conditions. We implement AND and XOR gates and a one-bit binary half-adder.
Technical Report: Artificial DNA - a Concept for Self-Building Embedded Systems
Uwe Brinkschulte
This technical report deals with the concept of an artificial DNA which contains a blueprint of the structure and organization of an embedded system. This blueprint can be used to build up the embedded system in a self-organizing manner at run-time. The report describes in detail the basic principles of the the artificial DNA and its relationship to standard design methods for embedded systems. A prototypic implementation is presented and evaluated. Additionally, future work is described and a conclusion is given.
Computability and Complexity of Unconventional Computing Devices
Hajo Broersma, Susan Stepney, Goran Wendin
We discuss some claims that certain UCOMP devices can perform hypercomputation (compute Turing-uncomputable functions) or perform super-Turing computation (solve NP-complete problems in polynomial time). We discover that all these claims rely on the provision of one or more unphysical resources.
Resistive communications based on neuristors
David Alejandro Trejo Pizzo
Memristors are passive elements that allow us to store information using a single element per bit. However, this is not the only utility of the memristor. Considering the physical chemical structure of the element used, the memristor can function at the same time as memory and as a communication unit. This paper presents a new approach to the use of the memristor and develops the concept of resistive communication.
RNA as a Nanoscale Data Transmission Medium: Error Analysis
Andrew W. Eckford, Taro Furbayashi, Tadashi Nakano
RNA can be used as a high-density medium for data storage and transmission; however, an important RNA process -- replication -- is noisy. This paper presents an error analysis for RNA as a data transmission medium, analyzing how deletion errors increase in a collection of replicated DNA strands over time.
MRFI Stream Arbitration: An Efficient Arbitration Scheme for NoC with Emerging Interconnect Technology
Rex Lee, Yilei Li
An improved version of stream arbitration based on multiband RF interconnect (MRFI) is proposed. Thanks to the simultaneous multiple channel transmitting/receiving feature of MRFI, dynamic bandwidth allocation is achieved in the proposed arbitration algorithm. With dynamic bandwidth allocation, MRFI based arbitration can guarantee 100% channel bandwidth utilization, which is a significant improvement compared with original RF-I based stream arbitration whose channel bandwidth utilization is only around 30%~50%.
An New Type Of Artificial Brain Using Controlled Neurons
John Robert Burger
Plans for a new type of artificial brain are possible because of realistic neurons in logically structured arrays of controlled toggles, one toggle per neuron. Controlled toggles can be made to compute, in parallel, parameters of critical importance for each of several complex images recalled from associative long term memory. Controlled toggles are shown below to amount to a new type of neural network that supports autonomous behavior and action.
Memristor Load Current Mirror Circuit
Olga Krestinskaya, Irina Fedorova, Alex Pappachen James
Simple current mirrors with semiconductor resistive loads suffer from large on-chip area, leakage currents and thermal effects. In this paper, we report the feasibility of using memristive loads as a replacement of semiconductor resistors in simplistic current mirror configuration. We report power, area and total harmonic distribution, and report the corner conditions on resistance tolerances.
On the physical and circuit-theoretic significance of the Memristor
Emanuel Gluskin
It is noticed that the inductive and capacitive features of the memristor reflect (and are a quintessence of) such features of any resistor. The very presence in the resistive characteristic v = f(i) of the voltage and current state variables, associated by their electrodynamics sense with electrical and magnetic fields, forces any resister to cause to accumulate some magnetic and electrostatic fields and energies around itself. The present version is strongly extended in the sense of the circuit theory discussion.
Towards plant wires
Andrew Adamatzky
In experimental laboratory studies we evaluate a possibility of making electrical wires from living plants. In scoping experiments we use lettuce seedlings as a prototype model of a plant wire. We approximate an electrical potential transfer function by applying direct current voltage to the lettuce seedlings and recording output voltage. We analyse oscillation frequencies of the output potential and assess noise immunity of the plant wires. Our findings will be used in future designs of self-growing wetware circuits and devices, and integration of plant-based electronic components into future and emergent bio-hybrid systems.
Robust Soldier Crab Ball Gate
Yukio-Pegio Gunji, Yuta Nishiyama, Andrew Adamatzky
Soldier crabs Mictyris guinotae exhibit pronounced swarming behaviour. The swarms of the crabs tolerant of perturbations. In computer models and laboratory experiments we demonstrate that swarms of soldier crabs can implement logical gates when placed in a geometrically constrained environment.
ReveR: Software Simulator of Reversible Processor with Stack
Alexander Yu. Vlasov
A software model of a reversible processor ReveR with the stack is discussed in this paper. An architecture, the minimal set of elementary reversible operations together with an implementation of the basic control flow structures and procedures calls using simple assembler language are described.