Is explainable AI ready for digital health? by Chia, Charlene Si Yin

“…Explainable Artificial Intelligence (XAI) is a set of techniques that allows human users to understand the reasoning and logic behind machine learning algorithms. …”
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MAS.630 Affective Computing, Spring 2008 by Picard, Rosalind W.

“…Topics include the interaction of emotion with cognition and perception; the role of emotion in human-computer interaction; the communication of human emotion via face, voice, physiology, and behavior; construction of computers that have skills of emotional intelligence; the development of computers that "have" emotion; affective technologies for autism; and other areas of current research interest. …”
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Silver assistants for aging-in-place by Wang, Di, Subagdja, Budhitama, Kang, Yilin, Tan, Ah-Hwee

“…The virtual agents are designed to serve around the clock to complement human care within the intelligent home environment. …”
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HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling by Huang, Xin, Rosman, Guy, Gilitschenski, Igor, Jasour, Ashkan, McGill, Stephen G., Leonard, John J., Williams, Brian C.

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Lexical-Semantic Content, Not Syntactic Structure, Is the Main Contributor to ANN-Brain Similarity of fMRI Responses in the Language Network by Kauf, Carina, Tuckute, Greta, Levy, Roger, Andreas, Jacob, Fedorenko, Evelina

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Form-From: A Design Space of Social Media Systems by Zhang, Amy X., Bernstein, Michael S., Karger, David R., Ackerman, Mark S.

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EITPose: Wearable and Practical Electrical Impedance Tomography for Continuous Hand Pose Estimation by Kyu, Alexander, Mao, Hongyu, Zhu, Junyi, Goel, Mayank, Ahuja, Karan

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Crowd evacuation analysis using agent-based simulation by Seah, Kwang Beng

“…Crowd simulation in the area of artificial intelligence has seen the rise in importance over the years. …”
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Industrial smart product-service systems solution design via hybrid concerns by Zheng, Pai, Wang, Zuoxu, Chen, Chun-Hsien

“…This research, as an explorative study, underlines three general ones at the macro-level, i.e. design and redesign as an overall value generation process (hybrid design), human and machine intelligence integration (hybrid intelligence), and technical and business innovation (hybrid value). …”
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Time-series AI models for traffic congestion prediction by Low, Carina Su Yun

“…In recent years, Artificial Intelligence (AI) has gained much popularity in the real world due to its capability to outperform the human mind. …”
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Scene understanding based on heterogeneous data fusion by Zhu, Lingzhi

“…Artificial intelligence has boosted human’s life; this technology has become something that will totally change people’s life in the future. …”
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Nao robot with internet application by Khairul Anwar Lukman

“…This is what the scientist have called it “Artificial Intelligence”, also known as AI. Having an intelligent robot such as NAO, will help schools all around the world to develop young minds and expanding their creativity. …”
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Flexible integrated sensor with asymmetric structure for simultaneously 3D tactile and thermal sensing by Wang, Yongqing, Sun, Kun, Zhang, Qisheng, Yu, Samson Shenglong, Han, Boon Siew, Wang, Jianpeng, Zhao, Mingyan, Meng, Xianglin, Chen, Sicheng, Zheng, Yuanjin

“…The development of a multifunctional artificial tactile perception system has potential benefits for future robotic technologies, human-machine interfaces, artificial intelligence, and health monitoring devices. …”
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The effect of targeting both quantitative and qualitative objectives in generative design tools on the design outcomes by Saadi, Jana I., Chong, Leah, Yang, Maria C.

“…Current generative design tools backed by artificial intelligence (AI) primarily allow for quantitative inputs while qualitative aspects of a design, in particular aesthetics, have been shown to be considered indirectly by designers. …”
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Imagine Yourself: Explorations in Fostering Personal Expression with Generative AI by Chadha, Karishma

“…Generative Artificial Intelligence (AI) technology has been promoted with many exciting promises to enhance human creativity. …”
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Developing a graphene Q&A chatbot using retrieval augmented generation (RAG) by Sara Johari

“…The chatbots were evaluated by RAGAs, a performance metric framework, with ChatGPT as a benchmark using a synthetic dataset of 10 questions and corresponding ground truths. Human evaluation was also conducted by manually inputting a user prompt into the chatbots and analysing the response generated. …”
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The Southern Insurgency: Rethinking Thailand’s Military Strategy by Parameswaran, Prashanth

“…As more than 2,000 have died and the insurgency rages on into its fourth year, Bangkok’s military strategy has been an unmitigated disaster, leaving the military fending off accusations of human rights abuses and engaging in mass arrests that produce little intelligence from tight-lipped insurgents. …”
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Supervised pseudo self-evolving cerebellar algorithm for generating fuzzy membership functions by Ang, K. K., Quek, Chai

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Policies in parallel? A comparative study of journalistic AI policies in 52 global news organisations by Becker, KB, Simon, FM, Crum, C

“…Our study shows that publishers have already begun to converge in their guidelines on key points such as transparency and human supervision when dealing with AI-generated content. …”

Towards efficient video-based action recognition: context-aware memory attention network by Koh, Thean Chun, Yeo, Chai Kiat, Jing, Xuan, Sivadas, Sunil

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