… by a group of doctors and an artificial intelligence (AI) algorithm developed by the authors
were compared. The gathered data show that machine learning (ML)–based analysis is more …

… and evaluate artificial intelligence (AI) algorithms used in … The algorithms were summarized
by objective, performance, … GA-related algorithms reported sensitivities from 0.47 to 0.98, …

… artificial intelligence models for TBM performance prediction. The results of the analysis
show that AI based methods can effectively be implemented for prediction of TBM performance. …

… The term "artificial intelligence", in this paper, is used as a reference to the so-called "narrow
artificial intelligence" or "weak artificial intelligence", namely the artificial intelligence used to …

… , artificial intelligence methods and specialised algorithmic … The overview of the studies
showed that artificial intelligence … smartphone-based samples, algorithm-guided detection of oral …

… 3, 33 (2018) ("[W]e should trust our fellow human beings over the algorithms, despite
developments in artificial intelligence allowing the deployment of increasingly refined legal …

… The dream of creating artificial devices that reach or outperform human inteUigence is an
old … The science of artificial intelligence (AI) may be defined as the construction of intelligent …

Publisher Summary This chapter discusses the applications of algorithmic probability to
problems in artificial intelligence. A strong motivation for revising classical concepts of …

… , where change to the algorithm might only be realized after … for artificial intelligence and
ML-driven software modifications” 13 . It is recognized by the FDA that these adaptive algorithms …

… algorithms for artificial intelligence (AI). The core objective is to construct the design for a
self-optimising and selfadapting autonomous artificial intelligence … deep learning algorithms (ie, …