Results 11 to 20 of about 4,079,585 (224)
Little ai, Big AI—Good AI, Bad AI [PDF]
Research-Technology Management, 2019 The real risk with AI isn’t malice but competence. A super intelligent AI will be extremely good at accomplishing its goals, and if those goals aren’t aligned with ours, we’re in real trouble.
openaire +2 more sources
The Quarterly Journal of Economics, 2021 Abstract Recent scholarship has suggested that artificial intelligence (AI) technology and autocratic regimes may be mutually reinforcing. We test for a mutually reinforcing relationship in the context of facial-recognition AI in China. To do so, we gather comprehensive data on AI firms and government procurement contracts, as well as on
Beraja, Martin +3 more
openaire +3 more sources
The Future of AI or AI for the Future [PDF]
, 2020 The third hype of AI and enthusiasm for applying last techniques in all fields raise great interest and some important questions on the future directions in AI research and applications. Guiding by the principle of combing the best from human and computers capacities this chapter lists some important challenges to face and related directions in AI ...
openaire +5 more sources
Sinorhizobium Meliloti, A Bacterium Lacking The Autoinducer-2 (AI-2) Synthase, Responds To AI-2 Supplied By Other Bacteria [PDF]
, 2008 Many bacterial species respond to the quorum-sensing signal autoinducer-2 (AI-2) by regulating different niche-specific genes. Here, we show that Sinorhizobium meliloti, a plant symbiont lacking the gene for the AI-2 synthase, while not capable of ...
McAuley, J. R. +4 more
core +2 more sources
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
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
Creep Characterization of Inconel 718 Lattice Metamaterials Manufactured by Laser Powder Bed Fusion
Advanced Engineering Materials, EarlyView., 2023 Herein, the creep characteristics of additively manufactured Inconel 718 metamaterials are investigated. The creep behavior of metamaterials and the effects of microstructural defects are assessed, and the microstructure defects are accurately captured using Kachanov's creep damage model.
Akash Singh Bhuwal +5 more
wiley +1 more source
Informatik-Spektrum, 2018 ,,Explainable AI“ ist kein neues Gebiet. Vielmehr ist das Problem der Erklarbarkeit so alt wie die AI selbst, ja vielmehr das Resultat ihrer selbst. Wahrend regelbasierte Losungen der fruhen AI nachvollziehbare ,,Glass-Box“-Ansatze darstellten, lag deren Schwache im Umgang mit Unsicherheiten der realen Welt.
Andreas Holzinger, Andreas Holzinger
openaire +2 more sources
Communities of knowledge and knowledge of communities: An appreciative inquiry into rural wellbeing [PDF]
, 2014 This article offers a retrospective examination of the use of appreciative inquiry (AI) in a study on rural wellbeing. It provides a reflection on the rationale for choosing AI as a suitable methodology, critiques the application of AI in rural settings ...
Kevany, Kathleen May +1 more
core +3 more sources