20 papers · ranked by Valyu relevance
Ulmann, Bernd
—The ACHILLES heel of classic analog computers was the complex, error prone, and time consuming process of programming. This typically involved manually patching hundreds or even thousands of connections between individual computing elements as well as setting many precision 10-turn potentiometers manually, often…
Zhong Sun, Piergiulio Mannocci, Manuel Le Gallo, Abu Sebastian
In recent years, driven by the computational demands of data-intensive applications such as artificial intelligence and scientific computing, analog computing has gained renewed interest. Given the diversity of computational tasks and recent advancements in analog CMOS circuits and resistive memory technologies, we…
Bernd Ulmann
—Many people think of analog computing as a historic dead-end in computing. In fact, nothing could be further from the truth as analog computing – together with quantum computing – has the potential to bring computing to new levels with respect to raw computational power and energy efficiency. The following paper…
Victor Lazzarini, Joseph Timoney
This paper re-appraises the role of analogue computers within electronic and computer music and provides some pointers to future areas of research. It begins by introducing the idea of analogue computing and placing in the context of sound and music applications. This is followed by a brief examination of the classic…
Robert Frederik Uy, Viet Phuong Bui
Wave-based analog computing has recently emerged as a promising computing paradigm due to its potential for high computational efficiency and minimal crosstalk. Although low-frequency acoustic analog computing systems exist, their bulky size makes it difficult to integrate them into chips that are compatible with…
Tao Zhu, Bowen Zhu, Shicheng Zhang, Keren Li + 12 more
In the “post-Moore era,” the growing challenges in traditional digital computing have driven renewed interest in analog computing. Photonic analog computing has emerged as an effective paradigm for overcoming the fundamental bottlenecks that constrain conventional analog accelerators, especially suited for high-speed…
James T. Meech, Vasileios Tsoutsouras, Phillip Stanley‐Marbell
Most modern computing tasks have digital electronic input and output data. Due to these constraints imposed by real-world use cases of computer systems, any analog computing accelerator, whether analog electronic or optical, must perform an analog-to-digital conversion on its input data and a subsequent…
Robert Frederik Uy, Viet Phuong Bui
Wave-based analog computing is a new computing paradigm heralded as a potentially superior alternative to existing digital computers. Currently, there are optical and low-frequency acoustic analog Fourier transformers. However, the former suffers from phase retrieval issues, and the latter is too physically bulky for…
Ruofan Li, Min Song, Zhe Guo, Shihao Li + 17 more
'Yufeng Tian' 'Zhenjiang Chen' 'Yi Bao' 'Jinsong Cui' 'Yan Xu' 'Yaoyuan Wang' 'Wei Tong' 'Zhe Yuan' 'Yan Cui' 'Li Xi' 'Dan Feng' 'Xiaofei Yang' 'Xuecheng Zou' 'Jeongmin Hong' 'Long You'] Title: Abstract Analog arithmetic operations are the most fundamental mathematical operations used in image and signal processing as…
Vasudev S. Mallan, Anitha Gopi, Chithra Reghuvaran, Aswani A. Radhakrishnan + 1 more
'Aswani A. Radhakrishnan' 'Alex James'] Intelligent sensor systems are essential for building modern Internet of Things applications. Embedding intelligence within or near sensors provides a strong case for analog neural computing. However, rapid prototyping of analog or mixed signal spiking neural computing is a…
Ning Ge, Jung Ho Yoon, Miao Hu, E. J. Merced-Grafals + 8 more
'Noraica Davila' 'John Paul Strachan' 'Zhiyong Li' 'Helen Holder' 'Qiangfei Xia' 'R. Stanley Williams' 'Xing Zhou' 'J. Joshua Yang'] We propose and demonstrate a novel physical computing paradigm based on an engineered unipolar memristor that exhibits symmetric SET switching with respect to voltage polarity. A…
Mohammad H Hasan, Ali Al-Ramini, Eihab Abdel-Rahman, Roozbeh Jafari + 1 more
'Fadi Alsaleem'] This work presents an approach to delay-based reservoir computing (RC) at the sensor level without input modulation. It employs a time-multiplexed bias to maintain transience while utilizing either an electrical signal or an environmental signal (such as acceleration) as an unmodulated input signal.…
Orkan Telhan, Jake Winiski, Damen Schaak, Michael Siegel + 2 more
We introduce a neuromorphic computing substrate based on PEDOT:PSS-infused mycelium, a biofabricated, morphologically tunable material that can be engineered into electrically active components including resistors, capacitors, and non-linear elements. Leveraging the principles of physical reservoir computing, we…
Maryada, Chiara De Luca, Arianna Rubino, Chenxi Wen + 4 more
Cortical microcircuits play a fundamental role in natural intelligence. While they inspired a wide range neural computation models and artificial intelligence algorithms, few attempts have been made to directly emulate them with an electronic computational substrate that uses the same physics of computation. Here we…
Amir Pandi, Mathilde Koch, Peter L Voyvodic, Paul Soudier + 3 more
Synthetic biological circuits are promising tools for developing sophisticated systems for medical, industrial, and environmental applications. So far, circuit implementations commonly rely on gene expression regulation for information processing using digital logic. Here, we present a new approach for biological…
Frank Britto Bisso, Durga Shree, Yinan Zhu, Christian Cuba Samaniego
Cells have evolved to sense a wide range of input combinations and integrate those signals through signaling pathways to produce context-specific responses, such as differentiation, cell-type specification, and patterning. To replicate this information-processing capacity, synthetic biology has developed large-scale…
Tristan Stérin, Abeer Eshra, Janet Adio, Constantine Glen Evans + 1 more
Like life, computers are out-of-equilibrium.^1,2^ Thermodynamically favoured error states are thwarted by energetically-costly processes such as kinetic proofreading of biological polymers, error-correcting codes in computer data storage, and redundancy in molecular programming. Decades of theoretical work shows that…
José J. Naveja-Romero, Fernanda I. Saldívar-González, Diana L. Prado-Romero, Angel J. Ruiz-Moreno + 3 more
The manuscript discusses recent advances on computer-aided drug discovery (CADD) with focus on data-dependent drug discovery. Herein, we do not intend to review the many CADD methodologies comprehensively. Instead, the review discusses progress on selected concepts, methodologies, resources, and applications that are…
Aliye Hazal Koyuncu, Jacopo Movilli, Sevil Sahin, Dmitrii V. Kriukov + 2 more
This work describes a competing activation network, which is regulated by chemical feedback at the liquid-surface interface. Feedback loops dynamically tune the concentration of chemical components in living systems, thereby controlling regulatory processes in neural, genetic, and metabolic networks. Advances in…
Deepro Bonnerjee, Saswata Chakraborty, Sangram Bagh
One of the long-term goals of synthetic bioengineering is to create configurable and programmable biological systems by just mixing and matching “LEGO”-like bio-modules. Here, we introduce a configurable and modular multi-cellular system where, from a small library of nine discrete engineered bacterial cells, a full…