Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence
23
Zitationen
1
Autoren
2021
Jahr
Abstract
The main concern of computer scientists is that artificial intelligence (AI) behaves like a person with intelligent behavior; as one computer expert stated: “The goal of AI is to develop machine that behave as though they were intelligent”. This chapter discusses the short history of AI development and the current commercial investment in AI, and examines some operational basis of AI. It also discusses the inductive learning principles of information acquisition used in machine learning (ML) and deep learning (DL). One of the most common usages of ML in medicine is to assist disease diagnosis. The DL system usually contains multiple layers of artificial neural networks. The chapter deals with “supervised” algorithms for computer learning, a process geared to achieving a defined target outcome. For computational tasks involving sequential inputs, such as language and speech, recurrent neural network is commonly the preferred choice.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.553 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.444 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.943 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.792 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.