Results 61 to 70 of about 116,632 (367)

Generative Artificial Intelligence Shaping the Future of Agri‐Food Innovation

AgriFood: Journal of Agricultural Products for Food, EarlyView.
Emerging use cases of generative artificial intelligence in agri‐food innovation. ABSTRACT The recent surge in generative artificial intelligence (AI), typified by models such as GPT, diffusion models, and large vision‐language architectures, has begun to influence the agri‐food sector.
Jun‐Li Xu, Dimitrios Argyropoulos, Tamíris da Costa   +2 more
wiley   +1 more source

Effects of Incorporating an Expert Decision-making Mechanism into Chatbots on Students’ Achievement, Enjoyment, and Anxiety

Educational Technology & Society, 2023
In traditional instruction, teachers generally deliver the content of textbooks to students via lectures, making teaching activities lack vibrancy.
Ting-Chia Hsu, Hsiu-Ling Huang, Gwo-Jen Hwang, Mu-Sheng Chen   +3 more
doaj   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

Pencarian Informasi Wisata Daerah Bali Menggunakan Teknologi Chatbot

Lontar Komputer, 2017
Bali is famous for its culture, tradition, natural beauty in it. Domestic and foreign tourists are interested to visit the island of Bali as a tourist destination.
I Nyoman Satria Paliwahet, I Made Sukarsa, I Ketut Gede Darma Putra   +2 more
doaj   +1 more source

Contextual Language Model Adaptation for Conversational Agents

, 2018
Statistical language models (LM) play a key role in Automatic Speech Recognition (ASR) systems used by conversational agents. These ASR systems should provide a high accuracy under a variety of speaking styles, domains, vocabulary and argots.
Gandhe, Ankur, Hedayatnia, Behnam, Khatri, Chandra, Liu, Linda, Metallinou, Angeliki, Raju, Anirudh, Rastrow, Ariya, Venkatesh, Anu   +7 more
core   +1 more source

Perancangan Chatbot Hotel dengan Model Natural Language Processing Chatbot dan Button Based Chatbot

JITTER : Jurnal Ilmiah Teknologi dan Komputer, 2022
Teknologi chatbot sudah mulai diterapkan pada berbagai sektor, termasuk sektor hotel. Kehadiran chatbot sangat membantu dalam ketepatan dan ketepatan penyampaian informasi. Namun, chatbot yang diterapkan pada sektor ini fiturnya kurang lengkap dan balasannya hanya dalam bentuk teks.
Anak Agung Ngurah Hary Susila, I Made Sukarsa, I Gede Ryoga Kusnanda   +2 more
openaire   +1 more source

Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases

Marketing science (Providence, R.I.), 2019
Chatbot identity disclosure negatively affects customer purchases because customers perceive the disclosed bot as less knowledgeable and less empathetic.
Xueming Luo, Siliang Tong, Z. Fang, Z. Qu   +3 more
semanticscholar   +1 more source

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source

Mental Distress, Label Avoidance, and Use of a Mental Health Chatbot: Results From a US Survey

JMIR Formative Research
BackgroundFor almost two decades, researchers and clinicians have argued that certain aspects of mental health treatment can be removed from clinicians’ responsibilities and allocated to technology, preserving valuable clinician ...
Kristin Kosyluk, Tanner Baeder, Karah Yeona Greene, Jennifer T Tran, Cassidy Bolton, Nele Loecher, Daniel DiEva, Jerome T Galea   +7 more
doaj   +1 more source

Smart Conversational Agents for Reminiscence

, 2018
In this paper we describe the requirements and early system design for a smart conversational agent that can assist older adults in the reminiscence process.
Caforio Valentina, Crete-Nishihata Masashi, Demiris George, Ibarra Francisco, Kenneth Huang Ting-Hao, Thorgrimsdottir Sigrun Huld, Tsiourti Christiana   +6 more
core   +1 more source