Results 231 to 240 of about 792,380 (274)

Using artificial intelligence tools to automate data extraction for living evidence syntheses. [PDF]

PLoS One
Mitchell E, Are EB, Colijn C, Earn DJD.
europepmc   +1 more source

Women in chemistry: Q&A with Professor Carolina Horta Andrade. [PDF]

Commun Chem
europepmc   +1 more source

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

, 2015
Omar Saad Almousa, Sebastian Mödersheim, Paolo Modesti, Luca Viganò   +3 more
openalex  

Effectiveness of AI for Enhancing Computed Tomography Image Quality and Radiation Protection in Radiology: Systematic Review and Meta-Analysis.

J Med Internet Res
Zhang S, Zhu Z, Yu Z, Sun H, Sun Y, Huang H, Xu L, Wan J.   +7 more
europepmc   +1 more source

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Artificial Intelligence and Computational Science

2021
In this note, we discuss the interaction between two ways of scientific analysis. The first (classical) way is known as Mathematical Modeling (MM). It is based on a model created by humans and presented in mathematical terms. Scientific Computing (SC) is an important tool of MM developed to quantitatively analyze the model. Artificial Intelligence (AI)
Neittaanmäki, Pekka, Repin, Sergey
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ADVANCES IN COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE

2023
Both Artificial Intelligence (AI) and Computer Science are academic disciplines that are closely related to one another but are distinct from one another. As their primary fields of investigation, AI and Computer Science are primarily concerned with the research and development of intelligent agents and computer systems.
Dr. G. N. Balaji, Dr. A.M. Balamurugan, Dr. Kovendan AKP, Vignesh G D   +3 more
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An Interdisciplinary Approach for Teaching Artificial Intelligence to Computer Science Students

Proceedings of the 21st Annual Conference on Information Technology Education, 2020
Artificial intelligence (AI) is a demanding and important course for computer science education in the universities and open online courses (MOOCs). It includes various introductory and specialized courses for artificial intelligence like knowledge representation, machine learning, reasoning under uncertainty, natural language processing, robotics, and
Harvey Siy, Anoop Mishra
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Computer Science and Artificial Intelligence

1989
This chapter takes a step back to place our problem of Natural Language Learning in the historical and theoretical perspectives of Artificial Intelligence. For this purpose we distinguish this engineering tradition of AI from the empirical approaches of Cognitive Science. This then provides a bridge to those techniques and theoretical stances which are
David M. W. Powers, Christopher C. R. Turk   +1 more
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