Generative pretrained autoregressive transformer graph neural network applied to the analysis and discovery of novel proteins by Buehler, Markus J

“…Since our model is prompt-based and information is encoded consistently via byte-level utf8 tokenization, it can process diverse modalities of information, such as sequence data, description of tasks, and numbers, and offers a flexible workflow that integrates human intelligence and artificial intelligence. Autoregressive training, using pre-training against a large unlabeled dataset, allows for straightforward adjustment of specific objectives.…”
Get full text

Beyond Dark Patterns: A Concept-Based Framework for Ethical Software Design by Caragay, Evan, Xiong, Katherine, Zong, Jonathan, Jackson, Daniel

Get full text

Mallet: SQL Dialect Translation with LLM Rule Generation by Ngom, Amadou Latyr, Kraska, Tim

Get full text

Building SenticNet 7 by Perh, Zhi Hao

“…The evolution of Artificial Intelligence (AI) has brought many possibilities in using machines to solve real-world problems and to bring conveniences to our daily lives. …”
Get full text

3D surface analysis of coral microatolls by Gautam, Rohan

Get full text

Visual mapping art : data visualization & crowdsourcing for an ostensive definition of art by Ong, Zi Feng

“…The core data will be utilized as a framework for crowdsourcing, with Human Intelligence Tasks (HIT) implemented on Amazon Mechanical Turk (MTurk) to increase the number of art forms in the database to include less prevalent art forms. …”
Get full text

SoHyFIS-Yager : a self-organizing Yager based hybrid neural fuzzy inference system by Tung, Sau Wai, Quek, Chai, Guan, Cuntai

Get full text
Get full text

A multidomain relational framework to guide institutional AI research and adoption by Straub, VJ, Morgan, D, Hashem, Y, Francis, J, Esnaashari, S, Bright, J

“…Calls for new metrics, technical standards and governance mechanisms to guide the adoption of Artificial Intelligence (AI) in institutions and public administration are now commonplace. …”

Autonomy Work: Personhood, Expertise, and Activism of Disabled AI Data Workers in China by Wu, Di

“…Instead of a complete departure from asymmetrical power relations, my interlocutors “reroute” the pathways between different human and non-human nodes without changing the nodes per se. …”
Get full text
Get full text

Textile Macroelectronics: Architecting Sensate and Computational Fabrics across Scales by Wicaksono, Irmandy

“…Textiles are omnipresent and among the oldest forms of art and culture in human civilization. They serve as our protective skin, the interface between our bodies and the environment, and a medium for self-expression and collective experience. …”
Get full text

Generative Design: Reframing the Role of the Designer in Early-Stage Design Process by Saadi, Jana I, Yang, Maria C

“…<jats:title>Abstract</jats:title><jats:p>Generative design tools empowered by recent advancements in artificial intelligence (AI) offer the opportunity for human designers and design tools to collaborate in new, more advanced modes throughout various stages of the product design process to facilitate the creation of higher performing and more complex products. …”
Get full text

Mitigating Barriers to Public Social Interaction with Meronymous Communication by Soliman, Nouran, Kang, Hyeonsu B, Latzke, Matthew, Bragg, Jonathan, Chang, Joseph Chee, Zhang, Amy Xian, Karger, David R

Get full text

Empowering natural product science with AI: leveraging multimodal data and knowledge graphs by Meijer, David, Beniddir, Mehdi A, Coley, Connor W, Mejri, Yassine M, Öztürk, Meltem, van der Hooft, Justin JJ, Medema, Marnix H, Skiredj, Adam

“…However, the application of AI to emulate human cognition in natural product research and its subsequent impact has so far been limited. …”
Get full text

Protein codes promote selective subcellular compartmentalization by Kilgore, Henry R., Chinn, Itamar, Mikhael, Peter G., Mitnikov, Ilan, Van Dongen, Catherine, Zylberberg, Guy, Afeyan, Lena, Banani, Salman F., Wilson-Hawken, Susana, Ihn Lee, Tong, Barzilay, Regina, Young, Richard A.

Get full text

Annotating videos that teach MS Excel and predicting mouse / keyboard actions by Tan, Genson Yao Jie

“…This research paper explores the extraction of specific sentences from natural language as a foundational step towards building an Artificial Intelligence system for automating Microsoft Excel. …”
Get full text

From theoretical models to practical deployment: A perspective and case study of opportunities and challenges in AI-driven cardiac auscultation research for low-income settings by Krones, F, Walker, B

“…This article includes a literature review and a case study of artificial intelligence (AI) heart murmur detection models to analyse the opportunities and challenges in deploying AI in cardiovascular healthcare in low- or medium-income countries (LMICs). …”

Exploring accountability: memory, object, metaphor and common sense by Mustafa, Hasri

“…Research limitations/implications The paper aligns with the concerns of McPhail et al. (2004) and calls for engagement in research projects on accounting and accountability related to theology but with an attempt to theorise the “engagement” within the components of human limitation and intelligence which require a narrative from the social and collective dimensions of the present and in the past. …”

Traversing the complexity of digital construction and beyond through soft skills: experiences of Malaysian architects by Shahruddin, Syafizal, Sonet, Ungku Norani, Azmi, Athira, Zainordin, Nadzirah

“…Purpose: The evolution of digital construction within Industrial Revolution 5.0 emphasises the harmonious integration of humans and technology, value-driven technology implementation, adaptive leadership and user-centric design solutions. …”

The rise of deep learning in cyber security: Bibliometric analysis of deep learning and malware by Nur Khairani, Kamarudin, Ahmad Firdaus, Zainal Abidin, Mohd Zamri, Osman, Alanda, Alde, Erianda, Aldo, Shahreen, Kasim, Mohd Faizal, Ab Razak

“…Deep learning is a machine learning technology that allows computational models to learn via experience, mimicking human cognitive processes. This method is critical in the development of identifying certain objects, and provides the computational intelligence required to identify multiple objects and distinguish it between object A or Object B. …”
Get full text

An Embedded Tactical Decision Aid Framework for Environmentally Adaptive Autonomous Underwater Vehicle Communication and Navigation by Bhatt, EeShan C., Howard, Bradli, Schmidt, Henrik

“…Motivated by a changing acoustic environment in the Arctic Beaufort Sea, in this article, we present a tactical decision aid framework for a human decision-maker collaborating with an autonomous underwater vehicle (AUV) to integrate the vertical sound-speed profile for underwater navigation and communication. …”
Get full text