Results 81 to 90 of about 253,577 (250)
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
Handling Parallelism in a Concurrency Model
Programming models for concurrency are optimized for dealing with nondeterminism, for example to handle asynchronously arriving events. To shield the developer from data race errors effectively, such models may prevent shared access to data altogether ...
Meyer, Bertrand +2 more
core +1 more source
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
Figures of Argument (OSSA 2005 Keynote Address)
From the seventeenth through the nineteenth centuries, scientists such as Kekule, Mendel, Lavoisier and Harvey argued for insights that depended critically on antithetical expressions and reasoning.
Jeanne Fahnestock
doaj +1 more source
Efficient management of backtracking in and-parallelism
A backtracking algorithm for AND-Parallelism and its implementation at the Abstract Machine level are presented: first, a class of AND-Parallelism models based on goal independence is defined, and a generalized version of Restricted AND-Parallelism (RAP)
Hermenegildo, Manuel V., Nasr, Roger I.
core
This work shows resonant tunneling diode‐based opto‐electronic spiking neurons enabling fast edge detection in time series, a two‐layer photonic spiking neural network for complex classification, and a depth‐tunable photonic spiking memory system. Neuromorphic computing—modeled after the functionality and efficiency of biological neural systems—offers ...
Dafydd Owen‐Newns +8 more
wiley +1 more source
Sketch for chemical Na bilayer (a) aggregation to higher aggregates (b), resulting in loss of space charge zones. The electrons compensating for the Na+ are partly in the space charge layers and partly in‐between the Na‐layers. ABSTRACT The difficult intercalation of sodium (Na) into graphite is studied by systematic and long‐time investigations (of up
Chuanhai Gan +7 more
wiley +2 more sources
On some geometric properties of operator spaces
In this paper we study some geometric properties like parallelism, orthogonality and semi-rotundity in the space of bounded linear operators. We completely characterize parallelism of two compact linear operators between normed linear spaces $\mathbb{X} $
Mal, Arpita +2 more
core +1 more source
Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions
Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li +15 more
wiley +1 more source
Deficiency One Parallelisms of PG(5, 2)
A spread in PG(n, q) is a set of lines such that each point is in exactly one line. A parallelism is a partition of the set of lines of PG(n, q) to spreads. A deficiency one parallelism is a parallelism with exactly one missing spread.
Svetlana Topalova, Stela Zhelezova
doaj +1 more source

