CJ Haug, JM Drazen - New England Journal of Medicine, 2023 - Mass Medical Soc
… These improvements in storage and speed have allowed machinelearning to progress from a dream to reality. Data in both panels are estimates from many types of system …
JU Becker, D Mayerich, M Padmanabhan, J Barratt… - Kidney International, 2020 - Elsevier
… Artificialintelligence (AI) for the purpose of this review is an umbrella term for technologies … , that are currently the state of the art in machinelearning software for this task. Because AI …
HH Rashidi, NK Tran, EV Betts… - Academic …, 2019 - journals.sagepub.com
… myriad of new tools that utilize artificialintelligence (AI) and machinelearning (ML). Artificial intelligence is the capability for machines to imitate intelligent human behavior, while ML is …
… Probabilistic modelling provides a framework for understanding what learning is, and has … data analysis, machinelearning, robotics, cognitive science and artificialintelligence. This …
AI Canhoto, F Clear - Business Horizons, 2020 - Elsevier
Artificialintelligence (AI) and machinelearning (ML) may save money and improve the efficiency of business processes, but these technologies can also destroy business value, …
… of artificialintelligence, machinelearning and deep learning … implementation of the artificial intelligence technologies. We … in the system of artificialintelligence technologies, and external…
Artificialintelligence (AI) is the use of mathematical algorithms to mimic human cognitive abilities and to address difficult healthcare challenges including complex biological …
… Since then, data mining and artificialintelligence have … area where artificialintelligence and machinelearning can be … the usage of artificialintelligence and machinelearning in the …
… This paper uses frame analysis to examine recent high-profile values statements endorsing ethical design for artificialintelligence and machinelearning (AI/ML). Guided by insights …