Results 101 to 110 of about 366,917 (330)

Memristive Physical Reservoir Computing

open access: yesAdvanced Science, EarlyView.
Memristors’ nonlinear dynamics and input‐dependent memory effects make them ideal candidates for high‐performance physical reservoir computing (RC). Based on their conductance modulation, memristors can be classified as electronic or optoelectronic types.
Dian Jiao   +9 more
wiley   +1 more source

Logical form and natural language [PDF]

open access: yesPhilosophical Studies, 1975
Peer Reviewed ; http://deepblue.lib.umich.edu/bitstream/2027.42/43381/1/11098_2004_Article_BF00372902 ...
openaire   +2 more sources

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

open access: yesAdvanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung   +7 more
wiley   +1 more source

Logicality in natural language

open access: yesPhilosophical Studies
AbstractIs there a relation of logical consequence in natural language? Logicality, in the philosophical literature, has been conceived of as a restrictive phenomenon that is at odds with the unbridled richness and complexity of natural language. This article claims that there is a relation of logical consequence in natural language, and moreover, that
openaire   +1 more source

Natural language processing and logic programming

open access: yesThe Journal of Logic Programming, 1994
AbstractThis paper examines the main points of contact between logic programming and natural language processing, and covers some of the important issues that arise using logic programming techniques in natural language processing. It emphasizes the importance of taking into account the most general analyses from linguistic theory in building NLP ...
openaire   +1 more source

Twisted MoS2 Bilayers as Functional Elements in Memtransistors: Hysteresis, Optical Signatures, and Photocurrent Kinetics

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Layered 2D materials are considered as promising for memristive applications due to their ultimate vertical scalability compared to conventional semiconductor films and pronounced hysteresis properties. Bias‐resolved Raman and Photoluminescence mapping is used to quantify strain from phonon shifts and carrier density from the exciton‐trion ...
Vladislav Kurtash   +4 more
wiley   +1 more source

Guidelines for writing definitions in ontologies [PDF]

open access: yes, 2017
Ontologies are being used increasingly to promote the reusability of scientific information by allowing heterogeneous data to be integrated under a common, normalized representation. Definitions play a central role in the use of ontologies both by humans
Ruttenberg, Alan   +2 more
core   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

Plural Intensional Presuppositional predicate calculus (PIP)

open access: yesGlossa
One successful branch of natural language semantics uses first order predicate calculus and set theory, well-studied systems of mathematics in their own right, as meta-languages for natural-language meanings.
Ezra Keshet, Steven Abney
doaj   +2 more sources

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels   +4 more
wiley   +1 more source

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