… This paper surveys recent research in deliberative real-time artificial intelligence (AI). Major
areas of study have been anytime algorithms, approximate processing, and large system …

… (ie, real-time analytics), reacting (ie, real-time decision-making), and learning (ie, deep
learning). Indeed, real-time … an integral aspect of IoT and artificial intelligence (AI), including its …

… about "soft" and "hard" real time are irrelevant, and that we should move towards the idea
that real time means real time! We therefore suggest that a real-time system is one in which the …

… To our knowledge, GRAIDS is the first real-time artificial intelligence-aided image …
endoscopists, and thereby providing both real-time and retrospective opportunities for all hospitals to …

… in microscopic analysis: an augmented optical light microscope that enables real-time
integration of AI. We define ‘real-time integration’ as adding the capability of AI assistance without …

Background and Aims Artificial intelligence (AI)–based computer-aided diagnostic (CADx)
algorithms are a promising approach for real-time histology (RTH) of colonic polyps. Our aim …

… In this study, we present a real-time artificial intelligence (AI) control system for precisely
regulating an important subsystem of the Fermilab Booster accelerator complex [9]. Our ultimate …

… surrounding artificial intelligence … , intelligent agents, and machine learning were the least
common type in our study (accounting for 16% of the total). This category includes: • intelligent …

… real-time CAD during colonoscopy. In this study, we analyze the efficacy of a novel real-time …
study of patients undergoing colonoscopy with a real-time CAD system. This AI-based …

Background We aimed to develop and validate a real-time deep convolutional neural
networks (DCNNs) system for detecting early gastric cancer (EGC). Methods All 45,240 …