Results 91 to 100 of about 56,008 (309)
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +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
Compiling Specialised Comparable Corpora. Should we always trust (Semi-)automatic Compilation Tools?
Decisions at the outset of compiling a comparable corpus are of crucial importance for how the corpus is to be built and analysed later on. Several variables and external criteria are usually followed when building a corpus but little is been said ...
Hernani Costa +3 more
doaj
Comparable Russian-Finnish corpus of juridical texts
Juridical texts in Russian and Finnish arranged as a comparable text ...
core
Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson +3 more
wiley +1 more source
An Arabic Sign Language Corpus for Instructional Language in School
Machine translation (MT) technology has made significant progress over the last decade and now offers the potential for Arabic sign language (ArSL) signers to access text published in Arabic. The dominant model of MT is now corpus based.
Wald, Mike +2 more
core
Proposta metodológica para construção de um banco de dados terminológico e elaboração de um glossário bilíngue da área têxtil: máquinas de costura [PDF]
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro de Comunicação e Expressão, Programa de Pós-Graduação em Estudos da Tradução, Florianópolis, 2013.Com a globalização da economia mundial e consequente integração dos mercados ...
Marian, Jane
core
Ukrainian parliamentary corpus ParlaMint-UA 4.0.1
The Ukrainian parliamentary corpus ParlaMint-UA 4.0.1 is an extended version of the ParlaMint-UA 4.0 corpus (available as a collection of plain texts along with TSV metadata of the speeches http://hdl.handle.net/11356/1859 and as a collection of speeches
Kopp, Matyáš +2 more
core
OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti +4 more
wiley +1 more source

