26 papers · ranked by Valyu relevance
Chetan Singh Thakur, Jamal Lottier Molin, Gert Cauwenberghs, Giacomo Indiveri + 11 more
'Giacomo Indiveri' 'Kundan Kumar' 'Ning Qiao' 'Johannes Schemmel' 'Runchun Wang' 'Elisabetta Chicca' 'Jennifer Olson Hasler' 'Jae-sun Seo' 'Shimeng Yu' 'Yu Cao' 'André van Schaik' 'Ralph Etienne-Cummings'] Neuromorphic engineering (NE) encompasses a diverse range of approaches to information processing that are…
Safaa J. Kasbah, Ramzi A. Haraty, Issam Damaj
"Surely the first and oldest problems in every branch of mathematics spring from experience and are suggested by the world of external phenomena" [1]. At the age of 2 or 3, we study addition by assembling collection of objects and counting them. At the age of 4 or 5, we start using an abstract mathematical…
Vivek Parmar, Bogdan Penkovsky, Damien Querlioz, Manan Suri
With recent advances in the field of artificial intelligence (AI) such as binarized neural networks (BNNs), a wide variety of vision applications with energy-optimized implementations have become possible at the edge. Such networks have the first layer implemented with high precision, which poses a challenge in…
Giuseppe Conti, Marcos Quintana, Pedro Malagón, David Jiménez
This paper presents a study on the optimization of the tracking system designed for patients with Parkinson’s disease tested at a day hospital center. The work performed significantly improves the efficiency of the computer vision based system in terms of energy consumption and hardware requirements. More specifically…
Yuling Luo, Lei Wan, Junxiu Liu, Jim Harkin + 3 more
'Xuemei Ding'] A novel low cost interconnected architecture (LCIA) is proposed in this paper, which is an efficient solution for the neuron interconnections for the hardware spiking neural networks (SNNs). It is based on an all-to-all connection that takes each paired input and output nodes of multi-layer SNNs as the…
Zofia Długosz, Michał Rajewski, Rafał Długosz, Tomasz Talaśka + 1 more
'Adam Krzyzak'] In this work, we propose a novel metaheuristic algorithm that evolved from a conventional particle swarm optimization (PSO) algorithm for application in miniaturized devices and systems that require low energy consumption. The modifications allowed us to substantially reduce the computational complexity…
Kazutomo Yoshii, Rajesh Sankaran, Sebastian Strempfer, Maksim Levental + 2 more
'Maksim Levental' 'M. Hammer' 'Antonino Miceli'] As spatial and temporal resolutions of scientific instruments improve, the explosion in the volume of data produced is becoming a key challenge. It can be a critical bottleneck for integration between scientific instruments at the edge and high-performance…
Yusuke Shinji, Hirotsugu Okuno, Yutaka Hirata
The cerebellum plays a central role in motor control and learning. Its neuronal network architecture, firing characteristics of component neurons, and learning rules at their synapses have been well understood in terms of anatomy and physiology. A realistic artificial cerebellum with mimetic network architecture and…
Goran Savić, Milan Prokin, Vladimir Rajović, Dragana Prokin + 1 more
'Kuo-Liang Chung'] Increasing the resolution of digital images and the frame rate of video sequences leads to an increase in the amount of required logical and memory resources necessary for digital image and video decompression. Therefore, the development of new hardware architectures for digital image decoder with a…
Leila Bagheriye, Johan Kwisthout
The implementation of inference (i.e., computing posterior probabilities) in Bayesian networks using a conventional computing paradigm turns out to be inefficient in terms of energy, time, and space, due to the substantial resources required by floating-point operations. A departure from conventional computing systems…
David Miguel Susano Pinto, Mick A Phillips, Nicholas Hall, Julio Mateos–Langerak + 5 more
Custom built microscopes often require control of multiple hardware devices and precise hardware coordination. It is also desirable to have a solution that is scalable to complex systems and translatable between components from different manufacturers. Here we report Python-Microscope, a free and open source Python…
David Rotermund, Klaus R. Pawelzik
While inspired by the brain, currently successful artificial neural networks lack key features of the biological original. In particular, the deep convolutional networks (DCNs) neither use pulses as signals exchanged among neurons, nor do they include recurrent connections which are both core properties of real…
Shereen Afifi, Hamid GholamHosseini, Roopak Sinha
Support Vector Machine (SVM) is a robust machine learning model that shows high accuracy with different classification problems, and is widely used for various embedded applications. However, implementation of embedded SVM classifiers is challenging, due to the inherent complicated computations required. This motivates…
Jérémie Laydevant, Logan G. Wright, Tianyu Wang, Peter L. McMahon
Human brains and bodies are not hardware running software: the hardware is the software. We reason that because the microscopic physics of artificial-intelligence hardware and of human biological "hardware" is distinct, neuromorphic engineers need to be cautious (and yet also creative) in how we take inspiration from…
M.F. Chowdhury, Mostafizur Rahman
Architecture Authors: ['M.F. Chowdhury' 'Mostafizur Rahman'] Abstract— Addressing the growing demands of artificial intelligence (AI) and data analytics requires new computing approaches. In this paper, we propose a reconfigurable hardware accelerator designed specifically for AI and dataintensive applications. Our…
M. Di Florio, Y. Bornat, M. Caré, V. R. Cota + 2 more
This study addresses the inherent difficulties in the creation of neuroengineering devices for closed-loop stimulation, a task typically characterized by intricate and technically demanding processes. Beneath the substantial hardware advancements in neurotechnology, there is often rather complex low-level code that…
Junwen Luo
Neural ptosthetic devices offer the ability to develop novel treatments for previously incurable diseases and ailments, such as deafness, blindness and tetraplepia. There is the potential to extend this concept to incorporate cognitive prosthetics, whereby damaged individual neuron cells or larger brain regiops are…
Guido Trensch, Abigail Morrison
Despite the great strides neuroscience has made in recent decades, the underlying principles of brain function remain largely unknown. Advancing the field strongly depends on the ability to study large-scale neural networks and perform complex simulations. In this context, simulations in hyper-real-time are of high…
George Dimitriadis, Ella Svahn, Andrew MacAskill, Athena Akrami
To realise a research project idea, an experimenter faces a series of conflicting design and implementation considerations, regarding both its hardware and software components. For instance, the ease of implementation, in time and expertise, should be balanced against the ease of future reconfigurability and number of…
Michael Kissner, Leonardo Del Bino, Felix Päsler, Peter Caruana + 1 more
'George N. Ghalanos'] Abstract—Energy efficiency of electronic digital processors is primarily limited by the energy consumption of electronic communication and interconnects. The industry is almost unanimously pushing towards replacing both long-haul, as well as local chip interconnects, using optics to drastically…
Pritish Narayanan, Charles E. Cox, Alexis Asseman, Nicolas Antoine + 3 more
'Harald Huels' 'W. W. Wilcke' 'Ahmet S. Özcan'] Abstract—The IBM Neural Computer (INC) is a highly flexible, re-configurable parallel processing system that is intended as a research and development platform for emerging machine intelligence algorithms and computational neuroscience. It consists of hundreds of…
Authors not listed
Nondestructive ultrasonic testing is finding increasing use in battery science. We provide instructions and software for the development of a low cost, modular, and easy to use scanning acoustic microscope. Basic principles of ultrasonic testing are discussed with particular attention to its application for operando…
Madushanka Manathunga, Hasan Metin Aktulga, Andreas W. Goetz, Kenneth M. Merz + 1 more
We have ported and optimized the GPU accelerated QUICK and AMBER based ab initio QM/MM implementation on AMD GPUs. This encompasses the entire Fock matrix build and force calculation in QUICK including one-electron integrals, two-electron repulsion integrals, exchange-correlation quadrature, and linear algebra…
Authors not listed
An automatic code generated C++/HIP/CUDA implementation of the (auxiliary) Fock, or Kohn–Sham, matrix construction for execution in GPU-accelerated hardware environments is presented. The module is developed as part the quantum chemistry software package VeloxChem, employing localized Gaussian atomic orbitals. The per-…
Peter Kraus, Edan Bainglass, Francisco F. Ramirez, Enea Svaluto-Ferro + 7 more
Compliance with good research data management practices means trust in the integrity of the data, and it is achievable by a full control of the data gathering process. In this work, we demonstrate tooling which bridges these two aspects, and illustrate its use in a case study of automated battery cycling. We…
Pierre Tremouilhac, Matthias Döring, Johannes Haubold, sylvia Vanderheiden + 4 more
The digitalization of processes in experimental laboratories often encounters obstacles with devices that lack connectivity with other systems. We propose a method to record and use values from such devices, demonstrating its effectiveness for weighing processes conducted using laboratory balances. Our developments…