Results 51 to 60 of about 11,087 (240)
Cognition and Computational Linguistic Creativity
Computational creativity is a subfield of artificial intelligence concerned with the development of programs that can produce creative output; in particular, several of these programs deal with linguistic creativity. Many computational creativity systems are modeled after, or inspired by, psychological and cognitive theories of creativity.
Lorenzo Gatti +2 more
openaire +3 more sources
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
COMPUTATIONAL LINGUISTICS AND ARTIFICIAL INTELLIGENCE [PDF]
: Computational linguistics, as an interdisciplinary field combining linguistics and computer science, aims to enable computers to process natural language.
Affas MAAMAR & Hadjer HADJCHERIF
doaj +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Texts published on social media have been a valuable source of information for companies and users, as the analysis of this data helps improving/selecting products and services of interest.
Luana Balador Belisário +2 more
doaj +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Towards authentic tasks and experiences: The example of parser-based CALL
Authenticity of language learning tasks, authenticity of learning experiences and the use of authentic language are important characteristics of communicative language teaching and learning.
Mathias Schulze, Marie-Josée Hamel
doaj
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source
The first biometric framework to harness dynamic time warping (DTW) for single‐channel diaphragmatic surface electromyography authentication via post‐hoc alignment is presented. By optimally warping deep–normal–deep breath cycles, DTW achieves perfect genuine–impostor separation (equal error rates = 0%), while a parallel adaptive neuro‐fuzzy inference ...
Beyza Eraslan +2 more
wiley +1 more source
Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology
This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin +9 more
wiley +1 more source

