Results 51 to 60 of about 13,051 (299)
The success of Conversational AI and the AI evaluation challenge it reveals
AI Magazine, 2022 Abstract Research interest in Conversational artificial intelligence (ConvAI) has experienced a massive growth over the last few years and several recent advancements have enabled systems to produce rich and varied turns in conversations similar to humans.
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Arthritis Care &Research, EarlyView.Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein +7 more
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Artificial intelligence (AI), conversational agents, and generative AI: implications for adult education practice and research [PDF]
In this editorial, we dig into some of the AIED literature and beyond to stimulate reflection on a few aspects central to adult educators and researchers: What are the potential and limits of using AI technologies to support teaching and learning ...
Hodge, Steven +3 more
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Arthritis Care &Research, EarlyView.Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
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The role of conversational AI agents in providing support and social care for isolated individuals
Alexandria Engineering JournalSocial isolation and loneliness pose significant challenges to individual well-being and public health. Conversational AI agents have emerged as a promising tool for addressing social isolation by providing personalized support and companionship to ...
Jaber O. Alotaibi, Amer S. Alshahre
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Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
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Perspectives for Evaluating Conversational AI
CoRR, 2017 Conversational AI systems are becoming famous in day to day lives. In this paper, we are trying to address the following key question: To identify whether design, as well as development efforts for search oriented conversational AI are successful or not.It is tricky to define 'success' in the case of conversational AI and equally tricky part is to use ...
Mahipal Jadeja, Neelanshi Varia
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A multilevel natural language query approach conversational agent systems [PDF]
, 2007 The main aim of this research is to investigate a novel technique for implementing a conversational intelligent agent system on the web. The research will focus on a multilevel natural language query approach.
Depickere, A. +7 more
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Futuring Machines: An Interactive Framework for Participative Futuring Through Human-AI Collaborative Speculative Fiction Writing [PDF]
Imagining future scenarios arising from events and (in)actions is crucial for democratic participation, but is often left to experts who have in-depth knowledge of, for example, social, political, environmental or technological trends.
Kiesel, Johannes +7 more
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The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
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