Results 81 to 90 of about 10,814 (309)
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Advanced Science, EarlyView.Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
Advanced 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
Fuzzy Logic Based Teaching/Learning of a Foreign Language in Multilingual Situations
Acta Linguistica Asiatica, 2017 The concept of Fuzzy Logic (FL) has gained momentum in areas of artificial intelligence and allied researches because of its absolute ability to present efficient solutions to real life problems.
Sweta SINHA
doaj +1 more source
, 1997 Book synopsis: With the same intellectual goals as the first edition, this innovative introductory logic textbook explores the relationship between natural language and logic, motivating the student to acquire skills and techniques of formal logic.
Guttenplan, Samuel D
core
Advanced Science, EarlyView.This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
Advanced Science, EarlyView.A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Why is “not infrequent” not always “frequent”? Double negation in political discourse
ExELL (Explorations in English Language and Linguistics), 2015 The aim of this paper is to view double negation in the light of its semantic and pragmatic meaning. While double negation in logic gives a positive value, in natural languages, besides having positive entailment, it can have a range of different ...
Osmankadić Merima
doaj +1 more source
A semantics and implementation of a causal logic programming language
, 2009 The increasingly widespread availability of multicore and manycore computers demands new programming languages that make parallel programming dramatically easier and less error prone.
Cleary, John G. +2 more
core
Modality, bisimulation and interpolation in infinitary logic
, 1998 Rohit Parikh has been one of the pioneers at the interface of modal and dynamic logic. Bringing dynamic, process-oriented concerns into modal logic has been a major move, whose repercussions are still being felt today.
van Benthem, Johan +1 more
core +1 more source
Advanced Science, EarlyView.This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao +9 more
wiley +1 more source