High-risk AI transparency? On qualified transparency mandates for oversight bodies under the EU AI Act by Kasia Söderlund

“… The legal opacity of AI technologies has long posed challenges in addressing algorithmic harms, as secrecy enables companies to retain competitive advantages while limiting public scrutiny. …”
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Forward first: Joystick interactions of toddlers during digital play. by Kimberly A Ingraham, Heather A Feldner, Katherine M Steele

“…Developmentally appropriate access to technology can support toddlers in learning and play. While touch screens are a popular interaction modality for children under the age of three, they may not be appropriate for all children or all tasks. …”
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Our Interplanetary Bodies by Marie Siguier

“…The vast recreation of a cosmic landscape, the work appears like a hybrid and artificial phenomenon combining organic elements (dust, meteorite seeds, arachnids, spider webs) and new technologies (screens, bioacoustic devices, algorithms). While the sublime Burkean modernist was an illusionist and attempted to distance the observer from a terrifying nature to have him feel terror, elevation or rapture, the installation encompasses the individual and sends him back to his own physical and cognitive experience, as well as to an renewed experience of space and senses through immersion in a “cosmos programme” that nevertheless produces a feeling of elevation faced with what Lyotard called “the unpresentable”: the absolutely great, the absolutely powerful.…”
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Application of collaborative innovation between the logical brain and the associative brain in oil and gas gathering and transportation systems by Jing GONG, Siheng SHEN, Daqian LIU, Qi KANG, Shangfei SONG, Haihao WU, Bohui SHI

“…Traditional simplified analytical methods struggle to cope with dynamic uncertainties, while existing data-driven algorithms are confronted with the dual challenges of lacking interpretability and insufficient robustness. …”
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Unsupervised identification of crystal defects from atomistic potential descriptors by Lukáš Kývala, Pablo Montero de Hijes, Christoph Dellago

“…We compare the performance of three such algorithms (PCA, UMAP, and PaCMAP) on silicon and water systems. …”
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Numerical Solution of Diffusion Models in Biomedical Imaging on Multicore Processors by Luisa D'Amore, Daniela Casaburi, Livia Marcellino, Almerico Murli

“…Comparison criteria take into account both the accuracy and the efficiency of the algorithms. As measure of accuracy, we consider the Hausdorff distance and the residuals of numerical solvers, while as measure of efficiency we consider convergence history, execution time, speedup, and parallel efficiency. …”
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Moth walls: shedding light on moth biodiversity by Joseph J. Bowden, Avalon Owens, Kayla Brown, Robert W. Harding, Marianne Graversen, Maxim Larrivée, Kent McFarland, Tyler A. Miller, Jamie Warren, Jodi O. Young

“…Its members contribute to important ecosystem services such as pollination and herbivory while also serving as principal food for many other animals. …”
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Optimization of heat and mass transfer in chemically radiative nanofluids using Cattaneo-Christov fluxes and advanced machine learning techniques by Shazia Habib, Saleem Nasir, Zeeshan Khan, Abdallah S. Berrouk, Waseem Khan, Saeed Islam

“…The overall AE fall within 10-03-10-07.The MSE values lie within the interval of 1001-10-05.The FIT spread over the range of 100-10-12 while the MAD values lie in the interval 10-01-10-07.The Mean values observed between 10-03 and 10-04 while the Standard deviation values fall within the range 10-02-10-04, demonstrating that the proposed methodology is precise and consistent. …”
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Machine learning and thermodynamic modeling for optimizing hydrogen production via algae-biomass co-gasification by Thanadol Tuntiwongwat, Takashi Yukawa, Thongchai Rohitatisha Srinophakun, Kanit Manatura, Somboon Sukpancharoen, Seyedali Mirjalili

“…XGB demonstrated superior predictive accuracy (R2 > 0.96, RMSE = 0.327) for H2 yield, while RF excelled in LHV prediction (R2 = 0.951). …”
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Advancements in Medical Radiology Through Multimodal Machine Learning: A Comprehensive Overview by Imran Ul Haq, Mustafa Mhamed, Mohammed Al-Harbi, Hamid Osman, Zuhal Y. Hamd, Zhe Liu

“…In the future, computer-assisted diagnostic systems must be intelligent to process a variety of data simultaneously, similar to how doctors examine various resources while diagnosing patients. By extracting novel characteristics from diverse medical data sources, advanced identification techniques known as multimodal learning may be applied, enabling algorithms to analyze data from various sources and eliminating the need to train each modality. …”
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Selected Topics in Management and Modeling of Complex Systems: Editorial Introduction to Issue 16 of CSIMQ by Peter Forbrig

“…The range of topics ends with the discussion of specific algorithms that allow entity clustering for Big Data analysis. …”
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Teaching triage in disaster medicine – same subject, but different approach by Amir Khorram-Manesh

“…These differences are characterized by the number of victims, available resources, and environmental factors that may jeopardize the safety of victims and healthcare providers. While routine triage algorithms are often used in multiple casualty emergencies, considering environmental factors in mass casualty incidents caused by natural or human-made hazards should be equally important. …”
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Zero-shot performance analysis of large language models in sumrate maximization. by Ali Abir Shuvro, Md Shahriar Islam Bhuiyan, Faisal Hussain, Md Sakhawat Hossen

“…In the field of Networking, LLMs can also play a major role when it comes to resource optimization and sharing. While Sumrate maximization has been a crucial factor for resource optimization in the networking domain, the optimal or sub-optimal algorithms it requires can be cumbersome to comprehend and implement. …”
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Performance Evaluating of Honeyword Generation Methods: Traditional versus AI by Shahad Abdulkhalik Alkazzaz, Saja Jasim Mohammed

“…Therefore, it was necessary to provide security and reliability to users while protecting their passwords. In the authentication database, A technique known as honeywords was used. …”
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COMPUTAÇÃO QUÂNTICA EM QUÍMICA by Caio M. Porto, Matheus S. Fonseca, Guilherme de S. T. Morais, Celso J. Villas-Boas, Rene A. Nome, Nelson H. Morgon

“…While challenges persist in qubit stability and error mitigation, continuous innovation is fostered by collaborative efforts between the quantum computing and chemistry communities. …”
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A multi-modal sensing system for human-robot interaction through tactile and proximity data by Gianluca Laudante, Michele Mirto, Olga Pennacchio, Salvatore Pirozzi

“…This paper considers tasks where a human operator teaches the robot an operation that is then performed autonomously.MethodsA multi-modal approach employing tactile fingers and proximity sensors is proposed, where tactile fingers serve as an interface, while proximity sensors enable end-effector movements through contactless interactions and collision avoidance algorithms. …”
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From static to dynamic evaluation: The potentials and challenges of dashboards to account for NRSs by Árni Már Einarsson, Jacob Ørmen

“…News recommender systems (NRSs) can enhance personal relevance and loyalty while reducing the power laws of curation. However, NRSs also denote a displacement of editorial agency and control due to technical complexity and limited transparency in personalized exposure. …”
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Assessing the Risk of Artificial Intelligence Impact on Decision-Making Automation in Digital Businesses by Mioara Chirita, George Chirita

“…Artificial intelligence technology' quick development has drastically changed how digital firms make decisions. While AI-enabled automation has many benefits, such as improved scalability, accuracy, and efficiency, it also brings new hazards that businesses need to be aware of. …”
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Non-Gaussian Process Dynamical Models by Yaman Kindap, Simon Godsill

“…Probabilistic dynamical models used in applications in tracking and prediction are typically assumed to be Gaussian noise driven motions since well-known inference algorithms can be applied to these models. However, in many real world examples deviations from Gaussianity are expected to appear, e.g., rapid changes in speed or direction, which cannot be reflected using processes with a smooth mean response. …”
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OPTIMIZATION-BASED APPROACH TO TILING OF FINITE AREAS WITH ARBITRARY SETS OF WANG TILES by Marek Tyburec, Jan Zeman

“…Wang tiles proved to be a convenient tool for the design of aperiodic tilings in computer graphics and in materials engineering. While there are several algorithms for generation of finite-sized tilings, they exploit the specific structure of individual tile sets, which prevents their general usage. …”
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