Results 1 to 10 of about 4,504,980 (314)
Research progress and prospect of application of machine learning in oil and gas pipeline
You-qi chuyun, 2021 Machine learning is a major means to realize artificial intelligence (AI), which can provide support for decision making through exploration of data law and establishment of prediction model.
Lei XU +4 more
doaj +1 more source
Current Directions in Biomedical Engineering, 2019 The application of artificial intelligence (AI) in the areas of health, care and social participation offers great opportunities but also involves great challenges.
Gembaczka Pierre +5 more
doaj +1 more source
Learning Deep Architectures for AI
Found. Trends Mach. Learn., 2007 Theoretical results strongly suggest that in order to learn the kind of complicated functions that can represent high-level abstractions (e.g. in vision, language, and other AI-level tasks), one needs deep architectures.
Yoshua Bengio
semanticscholar +1 more source
Artificial Intelligence for the Financial Services Industry: What Challenges Organizations to Succeed? [PDF]
, 2019 As a research field, artificial intelligence (AI) exists for several years. More recently, technological breakthroughs, coupled with the fast availability of data, have brought AI closer to commercial use. Internet giants such as Google, Amazon, Apple or
Beck, Roman +2 more
core +3 more sources
International Conference on Human Factors in Computing Systems, 2023 Large language models have abilities in creating high-volume human-like texts and can be used to generate persuasive misinformation. However, the risks remain under-explored.
Jiawei Zhou +4 more
semanticscholar +1 more source
Creative Potential of Artificial Intelligence in the Context of the Idea of the New Enlightenment
Кантовский сборник, 2023 The modern world is confronted with a series of global problems, exacerbated by technological advancements. In this context, concerns arise in the public consciousness regarding the potential of artificial intelligence (AI) to surpass humans in ...
Denis Aleksandrovich Stelmakhov
doaj +1 more source
Artificial Intelligence and the GDPR: Inevitable Nemeses?
Baltic Journal of European studies, 2020 The rapid development of computer technology over the past decades has brought about countless benefits across industries and social benefits as well—constant interpersonal connectivity is facilitated through numerous communication channels and social ...
Kesa Aleksandr, Kerikmäe Tanel
doaj +1 more source
Sensemaking Practices in the Everyday Work of AI/ML Software Engineering [PDF]
, 2020 This paper considers sensemaking as it relates to everyday software engineering (SE) work practices and draws on a multi-year ethnographic study of SE projects at a large, global technology company building digital services infused with artificial ...
Book Matthias +4 more
core +1 more source
Computer-Aided Decision Support System for Diagnosis of Heart Diseases
Research Reports in Clinical Cardiology, 2022 Gizeaddis Lamesgin Simegn,1 Worku Birhanie Gebeyehu,2 Mizanu Zelalem Degu2 1School of Biomedical Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia; 2Faculty of Computing, Jimma Institute of Technology, Jimma University, Jimma,
Simegn GL, Gebeyehu WB, Degu MZ
doaj
Supporting AI/ML Security Workers through an Adversarial Techniques, Tools, and Common Knowledge (AI/ML ATT&CK) Framework [PDF]
arXiv, 2022 This paper focuses on supporting AI/ML Security Workers -- professionals involved in the development and deployment of secure AI-enabled software systems. It presents AI/ML Adversarial Techniques, Tools, and Common Knowledge (AI/ML ATT&CK) framework to enable AI/ML Security Workers intuitively to explore offensive and defensive tactics.
arxiv