In-memory computing with emerging memory devices: Status and outlook

P Mannocci, M Farronato, N Lepri, L Cattaneo… - APL Machine …, 2023 - pubs.aip.org
In-memory computing (IMC) has emerged as a new computing paradigm able to alleviate or
suppress the memory bottleneck, which is the major concern for energy efficiency and …

Analogue and physical reservoir computing using water waves: Applications in power engineering and beyond

IS Maksymov - Energies, 2023 - mdpi.com
More than 3.5 billion people live in rural areas, where water and water energy resources
play an important role in ensuring sustainable and productive rural economies. This article …

[HTML][HTML] Roadmap to neuromorphic computing with emerging technologies

A Mehonic, D Ielmini, K Roy, O Mutlu, S Kvatinsky… - APL Materials, 2024 - pubs.aip.org
The growing adoption of data-driven applications, such as artificial intelligence (AI), is
transforming the way we interact with technology. Currently, the deployment of AI and …

What is robotics? Why do we need it and how can we get it?

DE Koditschek - Annual Review of Control, Robotics, and …, 2021 - annualreviews.org
Robotics is an emerging synthetic science concerned with programming work. Robot
technologies are quickly advancing beyond the insights of the existing science. More secure …

In-memory computing for machine learning and deep learning

N Lepri, A Glukhov, L Cattaneo… - IEEE Journal of the …, 2023 - ieeexplore.ieee.org
In-memory computing (IMC) aims at executing numerical operations via physical processes,
such as current summation and charge collection, thus accelerating common computing …

A continuous-time MaxSAT solver with high analog performance

B Molnár, F Molnár, M Varga, Z Toroczkai… - Nature …, 2018 - nature.com
Many real-life optimization problems can be formulated in Boolean logic as MaxSAT, a class
of problems where the task is finding Boolean assignments to variables satisfying the …

SimuQ: A framework for programming quantum hamiltonian simulation with analog compilation

Y Peng, J Young, P Liu, X Wu - … of the ACM on Programming Languages, 2024 - dl.acm.org
Quantum Hamiltonian simulation, which simulates the evolution of quantum systems and
probes quantum phenomena, is one of the most promising applications of quantum …

A digitally programmable cytomorphic chip for simulation of arbitrary biochemical reaction networks

SS Woo, J Kim, R Sarpeshkar - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Prior work has shown that compact analog circuits can faithfully represent and model
fundamental biomolecular circuits via efficient log-domain cytomorphic transistor …

Cytomorphic Electronic Systems: A review and perspective

DR Beahm, Y Deng, TG Riley… - IEEE nanotechnology …, 2021 - ieeexplore.ieee.org
The boltzmann-exponential thermodynamic laws govern the noisy molecular flux in
chemical reactions as well as the noisy subthreshold electron current flux in transistors …

Noise-aware dynamical system compilation for analog devices with Legno

S Achour, M Rinard - Proceedings of the Twenty-Fifth International …, 2020 - dl.acm.org
Reconfigurable analog devices are a powerful new computing substrate especially
appropriate for executing computationally intensive dynamical system computations in an …