Results 111 to 120 of about 159,042 (301)

Clinical Applications of Multimodal Artificial Intelligence in Otolaryngology: A State‐of‐the‐Art Review

Otolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objective Artificial intelligence (AI) has advanced to simultaneously process visual, auditory, and textual inputs, providing users with “multimodal” AI. Given the clinical integration potential of these tools, otolaryngologists must stay informed. This study reviews current literature on applications of multimodal AI in otolaryngology.
Ying Jie Li, Flora Su, Norbert Banyi, Philip Edgcumbe, Andrew Thamboo, Ameen Amanian   +5 more
wiley   +1 more source

Evaluating the Role of Social Capital for the Design of Sustainable River Governance Strategies: The Case of Tagus River

Sustainable Development, EarlyView.
ABSTRACT This study examines the role of social capital in designing and implementing more effective governance strategies to improve the state of the Tagus River's significantly deteriorated middle reach (Spain). We employed social network analysis (SNA) to evaluate the bonding, bridging and linking social capital and the quality of stakeholder ...
Leticia Blázquez, Juan A. García, José M. Bodoque   +2 more
wiley   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Balancing Accuracy and Cost: Trade‐Offs in Large Language Model Quantization for the Systems Engineering Domain

Systems Engineering, EarlyView.
ABSTRACT As Large Language Models (LLMs) are increasingly deployed within the systems engineering domain, optimizing these models to balance performance accuracy and cost for given computational resources becomes essential. One process for finding the right balance is quantization, a process that involves converting model parameters from higher ...
Ryan Bell, Raymond Madachy, Ryan Longshore   +2 more
wiley   +1 more source

A Systems‐Level Approach to Address Risks and Ethics in Artificial Intelligence Systems

Systems Engineering, EarlyView.
ABSTRACT Artificial intelligence (AI) is rapidly changing the world, from completely controlling routine or mundane tasks like text and image generation, to powering advanced algorithms that control critical systems. The recent advances in generative AI quickly overwhelmed multiple industries from education to finance as first adopters rushed (and ...
Vincent P. Paglioni, Torrey Mortenson
wiley   +1 more source

Las llamas y los humanos en el valle de Ambato, Catamarca (S. VI-XI D.C.): aproximaciones a sus formas de relación

La Zaranda de Ideas
Las investigaciones sobre los animales y su rol en las sociedades Aguada de Ambato, Catamarca, entre los siglos VI y XI d.C., sugieren múltiples relaciones que van más allá de las necesidades económicas o de consumo, permitiendo pensar a los animales ...
Iara Ludueña
doaj  

Evaluation of a non‐radioactive rapid test for determination of serum progesterone in South American camelids

Veterinary Record, EarlyView.
Abstract Background Determination of the serum progesterone (P4) concentration is of high importance in reproductive medicine and may be applied for diagnosing pregnancy in South American camelids. P4 measurements in alpacas and llamas are usually performed using immunoassays, which are time consuming and require appropriate expertise of laboratory ...
Lina Längerer, Gerhard Schuler, Philipp Pohlscheid, Henrik Wagner, Kathrin Büttner, Axel Wehrend   +5 more
wiley   +1 more source

Lethal Bluetongue Virus Serotype 1 Infection in Llamas

Emerging Infectious Diseases, 2009
Gilles Meyer, Caroline Lacroux, Sébastien Léger, Sokunthea Top, Katel Goyeau, Martine Deplanche, Mylène Lemaire   +6 more
doaj   +1 more source

From Ambiguous Queries to Verifiable Insights: A Task‐Driven Framework for LLM‐Powered SOC Analysis⋆

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Security operations centre (SOC) analysts must investigate alerts, correlate threat intelligence and interpret heterogeneous telemetry under tight timing constraints. Although large language models (LLMs) offer strong understanding capabilities, directly applying them to SOC environments remains challenging due to semantic ambiguity in analyst
Huan Zhang, Haiyan Wang, Hao Tan, Liyi Zeng, Jingnan Li, Zhaoquan Gu   +5 more
wiley   +1 more source

M3LoRA: Flexible Task Adaptation via Multiple Low‐Rank Matrices With Mixture‐of‐Subspaces and Minor Singular Components Initialization

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Parameter‐efficient fine‐tuning (PEFT) has become a crucial paradigm for domain adaptation, achieving strong performance by updating only a small fraction of model parameters. Among various PEFT methods, low‐rank adaptation (LoRA) is widely adopted due to its structural simplicity and computational efficiency.
Xu Luo, Yongbin Liu, Chunping Ouyang, Ying Yu, Yang Yang   +4 more
wiley   +1 more source