chatClimate: Grounding conversational AI in climate science by Vaghefi, SA, Wang, Q, Muccione, V, Ni, J, Kraus, M, Bingler, J, Schimanski, T, Colesanti-Senni, C, Webersinke, N, Huggel, C, Leippold, M

“…This approach can be easily scaled for chatbots in specific domains, enabling the delivery of reliable and accurate information.…”

Even good bots fight: the case of Wikipedia by Tsvetkova, M, García-Gavilanes, R, Floridi, L, Yasseri, T

“…In recent years, there has been a huge increase in the number of bots online, varying from Web crawlers for search engines, to chatbots for online customer service, spambots on social media, and content-editing bots in online collaboration communities. …”

Bridging Gaps in Russian Language Processing: AI and Everyday Conversations by Tatiana Sherstinova, Nikolay E Mikhaylovskiy, Evgenia Kolpashchikova, Violetta Kruglikova

“…The acquired results are utilized to enrich datasets for recognizing everyday Russian speech and for constructing chatbots that emulate spontaneous Russian conversations.…”
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Designing a conversational agent to promote teamwork and collaborative practices using design thinking: An explorative study on user experiences by Sofie Smedegaard Skov, Josefine Ranfelt Andersen, Sigurd Lauridsen, Mads Bab, Marianne Bundsbæk, Maj Britt Dahl Nielsen

“…Appearance, voice features, and communication style affect users trust in conversational agents (chatbots), but few studies have assessed what features users like and dislike. …”
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SURVEY AND PROPOSED METHOD TO DETECT ADVERSARIAL EXAMPLES USING AN ADVERSARIAL RETRAINING MODEL by Thanh Son Phan, Quang Hua Ta, Duy Trung Pham, Phi Ho Truong

“…These models have revolutionized various fields, benefiting society in numerous ways, from self-driving cars and intelligent chatbots to automated facial authentication systems. …”
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Korean Drama Scene Transcript Dataset for Emotion Recognition in Conversations by Sudarshan Pant, Eunchae Lim, Hyung-Jeong Yang, Guee-Sang Lee, Soo-Hyung Kim, Young-Shin Kang, Hyerim Jang

“…Many published datasets provide contextual information for situations such as text-based online messaging, chatbots, and movie dialogues. However, such dialogue-based datasets are collected by selecting ideal conversational situations and thus do not include many variations in dialogue length and number of participants. …”
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Unleashing ChatGPT's impact in higher education: Student and faculty perspectives by Parsa Rajabi, Parnian Taghipour, Diana Cukierman, Tenzin Doleck

“…This paper aims to provide a more refined understanding of the complex interplay between AI chatbots and higher education that will help educators navigate the rapidly evolving landscape of AI-driven education.…”
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A systematic review and meta-analysis of digital application use in clinical research in pain medicine by Ashish Shetty, Gayathri Delanerolle, Yutian Zeng, Yutian Zeng, Jian Qing Shi, Jian Qing Shi, Rawan Ebrahim, Joanna Pang, Dharani Hapangama, Martin Sillem, Suchith Shetty, Balakrishnan Shetty, Martin Hirsch, Martin Hirsch, Vanessa Raymont, Kingshuk Majumder, Sam Chong, Sam Chong, William Goodison, Rebecca O’Hara, Louise Hull, Nicola Pluchino, Naresh Shetty, Sohier Elneil, Sohier Elneil, Tacson Fernandez, Tacson Fernandez, Robert M. Brownstone, Peter Phiri, Peter Phiri

“…The digital interventions were categorised to web and mobile applications and chatbots, with pooled standard mean difference of 0.22 (95% CI: −0.16, 0.60), 0.30 (95% CI: 0.00, 0.60) and −0.02 (95% CI: −0.47, 0.42) respectively. …”
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Deep Reinforcement Learning Hands-On / by Lapan, Maxim 655254, author

“…What you will learn Understand the deep learning context of RL and implement complex deep learning models Evaluate RL methods including cross-entropy, DQN, actor-critic, TRPO, PPO, DDPG, D4PG, and others Build a practical hardware robot trained with RL methods for less than $100 Discover Microsoft's TextWorld environment, which is an interactive fiction games platform Use discrete optimization in RL to solve a Rubik's Cube Teach your agent to play Connect 4 using AlphaGo Zero Explore the very latest deep RL research on topics including AI chatbots Discover advanced exploration techniques, including noisy networks and network di..…”

The Development of a Named Entity Recognizer for Detecting Personal Information Using a Korean Pretrained Language Model by Sungsoon Jang, Yeseul Cho, Hyeonmin Seong, Taejong Kim, Hosung Woo

“…Social network services and chatbots are susceptible to personal information leakage while facilitating language learning without time or space constraints. …”
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Guideline proposal for pharma companies to manage pharmacovigilance activities in digital media by Daniela Bernardini, Ilenia Bocchi, Stefano Bonato, Davide Bottalico, Valentina Calderazzo, Carmela Casino, Gian Nicola Castiglione, Carla Cottone, Stefania Dellon, Ilaria Grisoni, Amanda Mattavelli, Giacomo Pirisino, Silvia Romano, Grazia Sirizzotti, Lisa Stagi, on behalf of the SIMeF Working Group

“…Considering this scenario and the continuous evolution of the digital activities, the SIMEF PV working group decided to work on a proposal guideline to provide support to PV departments in pharma companies, suggesting a framework to manage sponsored digital activities (i.e., website, web apps, social media webpage, chatbots) impacting potential collection of adverse events (AEs). …”
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Design and Development of a Non-Contact ECG-Based Human Emotion Recognition System Using SVM and RF Classifiers by Aftab Alam, Shabana Urooj, Abdul Quaiyum Ansari

“…Emotionally intelligent systems such as chatbots and artificially intelligent assistant modules help make our daily life routines effortless. …”
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Terminally ill head and neck cancer patients and AI: Opportunities and prospects by Gargi S. Sarode, Sachin C. Sarode

“…These include pain management and symptom control through predictive modeling, psychosocial support via AI-powered chatbots, treatment decision support by synthesizing patient data, automated radiation planning, end-of-life planning with AI-driven decision support systems, facilitating family communication through structured guidance and emotional support, and legacy building using AI-enabled digital platforms for preserving personal narratives. …”
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Conversation-based assessment: A novel approach to boosting test-taking effort in digital formative assessment by Seyma N. Yildirim-Erbasli, Okan Bulut

“…Conversational agents such as chatbots have recently gained a lot of traction in various industries, including education, marketing, and healthcare. …”
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Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members’ vision – part 2 by Igor Petrušić, Chia-Chun Chiang, David Garcia-Azorin, Woo-Seok Ha, Raffaele Ornello, Lanfranco Pellesi, Eloisa Rubio-Beltrán, Ruth Ruscheweyh, Marta Waliszewska-Prosół, William Wells-Gatnik

“…In addition, AI-driven wearable devices equipped with next-generation biosensors combined with multi-agent chatbots could enable real-time physiological and biochemical monitoring, diagnosing, facilitating early headache attack forecasting and prevention, disease tracking, and personalized interventions. …”
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Artificial Intelligent Robots for Precision Education: A Topic Modeling-Based Bibliometric Analysis by Xieling Chen, Gary Cheng, Di Zou, Baichang Zhong, Haoran Xie

“…Results showed that AI robots and chatbots had been widely used in different subject areas (e.g., early education, STEM education, medical, nursing, and healthcare education, and language education) for promoting collaborative learning, mobile/game-based learning, distance learning, and affective learning. …”
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Digital Communications in Public Administration: Essence, Role and Requirements for Formation by N. А. Hrynchak, A. V. Syniakov

“…In the face of digital transformation, public authorities have more ways than ever to communicate with communities — from social networks and online town halls to chatbots and virtual assistants. The types of digital communications that have gained widespread practical application by public authorities in the conditions of digital transformation are singled out. …”
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“The role of ai-driven social media marketing in shaping consumer purchasing behaviour: An empirical analysis of personalization, predictive analytics, and engagement” by Patil Ruturaj, K Shivashankar, Porapur Shantavva M., Kagawade Shivanand

“…Marketing effectiveness may be improved by trend forecasting with an overall increase of 20 percent and while analytics may increase ROI in marketing.The commonly used technologies like chatbots and social listening are currently dominating as the technologies capable of engaging in real-time interactions with the consumer which can have a massively impacting feature in their decisions to purchase a product or not. …”
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A Brief Survey of Machine Learning and Deep Learning Techniques for E-Commerce Research by Xue Zhang, Fusen Guo, Tao Chen, Lei Pan, Gleb Beliakov, Jianzhang Wu

“…Finally, we discuss the main challenges and trends, which are related to imbalanced data, over-fitting and generalization, multi-modal learning, interpretability, personalization, chatbots, and virtual assistance. This survey offers a concise overview of the current state and future directions regarding the use of machine learning and deep learning techniques in the context of e-commerce. …”
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Analysis of integration of IoMT with blockchain: issues, challenges and solutions by Tehseen Mazhar, Syed Faisal Abbas Shah, Syed Azeem Inam, Joseph Bamidele Awotunde, Mamoon M. Saeed, Habib Hamam

“…It has also accelerated drug discovery by analyzing vast datasets, potentially leading to breakthrough therapies. Chatbots and virtual assistants powered by AI, enhance patient engagement and adherence to treatment plans. …”
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