Results 61 to 70 of about 911,242 (159)
Towards better healthcare: What could and should be automated? [PDF]
arXiv, 2019 While artificial intelligence (AI) and other automation technologies might lead to enormous progress in healthcare, they may also have undesired consequences for people working in the field. In this interdisciplinary study, we capture empirical evidence of not only what healthcare work could be automated, but also what should be automated.
arxiv
Towards Autonomous Aviation Operations: What Can We Learn from Other Areas of Automation? [PDF]
Rapid advances in automation has disrupted and transformed several industries in the past 25 years. Automation has evolved from regulation and control of simple systems like controlling the temperature in a room to the autonomous control of complex ...
Kopardekar, Parimal Hemchandra +1 more
core +1 more source
Human-automation collaboration in manufacturing: identifying key implementation factors [PDF]
, 2013 Human-automation collaboration refers to the concept of human operators and intelligent automation working together interactively within the same workspace without conventional physical separation.
Charalambous, George +2 more
core
Intelligent Technologies in Model Base Management System Design Automation [PDF]
arXiv, 2010 The article describes the prospects of model base management system design automation for decision support systems and suggests the toolbox scheme for design automation based on intelligent technologies.
arxiv
Automotive automation: Investigating the impact on drivers' mental workload [PDF]
, 1997 Recent advances in technology have meant that an increasing number of vehicle driving tasks are becoming automated. Such automation poses new problems for the ergonomist.
Stanton, N A, Young, M S
core
Prediction Factory: automated development and collaborative evaluation of predictive models [PDF]
arXiv, 2018 In this paper, we present a data science automation system called Prediction Factory. The system uses several key automation algorithms to enable data scientists to rapidly develop predictive models and share them with domain experts. To assess the system's impact, we implemented 3 different interfaces for creating predictive modeling projects ...
arxiv
Automated ZFC Theorem Proving with E [PDF]
arXiv, 2019 I introduce an approach for automated reasoning in first order set theories that are not finitely axiomatizable, such as $ZFC$, and describe its implementation alongside the automated theorem proving software E. I then compare the results of proof search in the class based set theory $NBG$ with those of $ZFC$.
arxiv
Automated data processing and feature engineering for deep learning and big data applications: a survey [PDF]
Modern approach to artificial intelligence (AI) aims to design algorithms that learn directly from data. This approach has achieved impressive results and has contributed significantly to the progress of AI, particularly in the sphere of supervised deep learning.
arxiv +1 more source
Automation and the farmer [PDF]
, 2009 A current problem in Australia is the shortage of human assistance for farmers. Automation and technological innovation are discussed as answers to this, delegating tasks to ‘robot’ systems.
Billingsley, John
core