In-memory computing with emerging memory devices: Status and outlook
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 …
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 …
play an important role in ensuring sustainable and productive rural economies. This article …
[HTML][HTML] Roadmap to neuromorphic computing with emerging technologies
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 …
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 …
technologies are quickly advancing beyond the insights of the existing science. More secure …
In-memory computing for machine learning and deep learning
In-memory computing (IMC) aims at executing numerical operations via physical processes,
such as current summation and charge collection, thus accelerating common computing …
such as current summation and charge collection, thus accelerating common computing …
A continuous-time MaxSAT solver with high analog performance
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 …
of problems where the task is finding Boolean assignments to variables satisfying the …
SimuQ: A framework for programming quantum hamiltonian simulation with analog compilation
Quantum Hamiltonian simulation, which simulates the evolution of quantum systems and
probes quantum phenomena, is one of the most promising applications of quantum …
probes quantum phenomena, is one of the most promising applications of quantum …
A digitally programmable cytomorphic chip for simulation of arbitrary biochemical reaction networks
Prior work has shown that compact analog circuits can faithfully represent and model
fundamental biomolecular circuits via efficient log-domain cytomorphic transistor …
fundamental biomolecular circuits via efficient log-domain cytomorphic transistor …
Cytomorphic Electronic Systems: A review and perspective
The boltzmann-exponential thermodynamic laws govern the noisy molecular flux in
chemical reactions as well as the noisy subthreshold electron current flux in transistors …
chemical reactions as well as the noisy subthreshold electron current flux in transistors …
Noise-aware dynamical system compilation for analog devices with Legno
Reconfigurable analog devices are a powerful new computing substrate especially
appropriate for executing computationally intensive dynamical system computations in an …
appropriate for executing computationally intensive dynamical system computations in an …