Functional modules of the human brain from resting-state fMRI by Long, Hongquan

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AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy by Schoenegger, Philipp, Park, Peter, Karger, Ezra, Trott, Sean, Tetlock, Philip

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Position statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the adoption and implementation of artificial intelligence for radiology by Wee, Nicole Kessa, Git, Kim-Ann, Lee, Wen-Jeng, Raval, Gaurang, Pattokhov, Aziz, Ho, Evelyn Lai Ming, Chuapetcharasopon, Chamaree, Tomiyama, Noriyuki, Ng, Kwan Hoong, Tan, Cher Heng

“…Artificial intelligence (AI) is rapidly gaining recognition in the radiology domain as a greater number of radiologists are becoming AI-literate. …”
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Advancing healthcare with artificial intelligence: diagnostic accuracy of machine learning algorithm in diagnosis of diabetic retinopathy in the Brazilian population by dos Reis, Mateus A., Künas, Cristiano A., da Silva Araújo, Thiago, Schneiders, Josiane, de Azevedo, Pietro B., Nakayama, Luis F., Rados, Dimitris R. V., Umpierre, Roberto N., Berwanger, Otávio, Lavinsky, Daniel, Malerbi, Fernando K., Navaux, Philippe O. A., Schaan, Beatriz D.

“…In healthcare systems in general, access to diabetic retinopathy (DR) screening is limited. Artificial intelligence has the potential to increase care delivery. …”
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Accuracy and safety of an autonomous artificial intelligence clinical assistant conducting telemedicine follow-up assessment for cataract surgery by Meinert, E, Milne-Ives, M, Lim, E, Higham, A, Boege, S, de Pennington, N, Bajre, M, Mole, G, Normando, E, Xue, K

“…<p><strong>Background:&nbsp;</strong>Artificial intelligence deployed to triage patients post-cataract surgery could help to identify and prioritise individuals who need clinical input and to expand clinical capacity. …”

A Review of Unmanned Aerial Vehicles/Urban Air Mobility Potential Cyberattacks and Authentication Models: A Way Forward by Mahmoud, Aminu Abdulkadir, Ramli, Sofia Najwa, Mohd Ariff, Mohd Aifaa, Chai Wen, Chuah, Rahim, Nordiana

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An Information Bottleneck Characterization of the Understanding-Workload Tradeoff in Human-Centered Explainable AI by Sanneman, Lindsay, Tucker, Mycal, Shah, Julie A.

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Efficient feedforward categorization of objects and human postures with address-event image sensors by Chen, Shoushun, Akselrod, Polina, Zhao, Bo, Carrasco, Jose Antonio Perez, Linares-Barranco, Bernabe, Culurciello, Eugenio

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Supermind Ideator: How Scaffolding Human-AI Collaboration Can Increase Creativity by Heyman, Jennifer, Rick, Steven, Giacomelli, Gianni, Wen, Haoran, Laubacher, Robert, Taubenslag, Nancy, Knicker, Max, Jeddi, Younes, Ragupathy, Pranav, Curhan, Jared, Malone, Thomas

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Impedance controlled human–robot collaborative tooling for edge chamfering and polishing applications by Kana, Sreekanth, Lakshminarayanan, Srinivasan, Mohan, Dhanya Menoth, Campolo, Domenico

“…Despite the advancements in machine learning and artificial intelligence, human workforce is still irreplaceable in performing such tasks due to superior dexterity and adaptability, but this is often prone to risks such as hand-arm vibration syndrome due to hand-held tools. …”
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Understanding Non-Verbal Irony Markers: Machine Learning Insights Versus Human Judgment by Spitale, Micol, Catania, Fabio, Panzeri, Francesca

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A human-centric automated essay scoring and feedback system for the development of ethical reasoning by Lee, Alwyn Vwen Yen, Luco, Andrés Carlos, Tan, Seng Chee

“…Afterall, learning is inherently a social endeavor involving human interactions, rendering the need for AI designs to be approached from a humanistic perspective, or human-centered AI (HAI). …”
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Leveraging transfer learning for spatio-temporal human activity recognition from video sequences by Muneer Butt, Umair, Aman Ullah, Hadiqa, Letchmunan, Sukumar, Tariq, Iqra, Hafinaz Hassan, Fadratul, Wei Koh, Tieng

“…Human Activity Recognition (HAR) is an active research area due to its applications in pervasive computing, human-computer interaction, artificial intelligence, health care, and social sciences.Moreover, dynamic environments and anthropometric differences between individuals make it harder to recognize actions. …”
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Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention by Orzikulova, Adiba, Xiao, Han, Li, Zhipeng, Yan, Yukang, Wang, Yuntao, Shi, Yuanchun, Ghassemi, Marzyeh, Lee, Sung-Ju, Dey, Anind K, Xu, Xuhai

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Creative AI : a data-driven design approach for creative online ad optimisation using artificial intelligence and big data by Phay, Han

“…The research is structured in 7 chapters: (1) A Historical Perspective on Modern Advertising, looking at the way creative advertising agencies have evolved throughout the earlier years, (2) Present Day Advertising Technology, continuing the narrative post-internet through exploration of the advertising technology industry in present day, (3) Consumer Psychology, specifically on how creative design attributes in ads, such as visuals, text and sound, can subconsciously have an effect on humans and are important to the cause of advertising, (4) Data-driven design, a new way of looking at the digital online ad creation process, integrating big data and artificial intelligence to predict the optimal creative attributes in digital ads, (5) Multivariate Testing for Creative Optimisation, a controlled experiment to determine that generated ads do not underperform current human designed ads, (6) Translating Research into Product, where the ad agency as tech company model is brought forth through the form of a startup, and lastly (7) Future Opportunities, that identifies other areas of emerging tech and the implications on future research.…”
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A multisensory interaction framework for human-cyber–physical system based on graph convolutional networks by Qi, Wenqian, Chen, Chun-Hsien, Niu, Tongzhi, Lyu, Shuhui, Sun, Shouqian

“…Human-Cyber-Physical Systems (HCPS), as an emerging paradigm centered around humans, provide a promising direction for the advancement of various domains, such as intelligent manufacturing and aerospace. …”
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Subjective video quality evaluation for user generated contents via textual prompts by Ang, Dario

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A length-adjustable vacuum-powered artificial muscle for wearable physiotherapy assistance in infants by Gollob, Samuel Dutra, Mendoza, Mijaíl Jaén, Koo, Bon Ho Brandon, Centeno, Esteban, Vela, Emir A., Roche, Ellen T.

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Intelligent Technologies for Interactive Entertainment : 12th EAI international conference, INTETAIN 2020, virtual event, December 12-14, 2020 : Proceedings / by INTETAIN (Conference) (12th : 2020 : Online), organiser 642911, Shaghaghi, Navid, editor 642912, Lamberti, Fabrizio, editor 642913, Beams, Brian, editor 642914, Shariatmadari, Reza, editor 642915, Amer, Ahmed, editor 642916

“…The 19 full papers were selected from 49 submissions and present novel, and innovative work in areas including in art, science, design and engineering regarding computer-based systems or devices that provide intelligent human interaction or entertainment experience. …”

PlaneSDF-Based Change Detection for Long-Term Dense Mapping by Fu, Jiahui, Lin, Chengyuan, Taguchi, Yuichi, Cohen, Andrea, Zhang, Yifu, Mylabathula, Stephen, Leonard, John J.

Subjects: “…Artificial Intelligence…”
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