Results 171 to 180 of about 3,659,116 (353)

Cross-lingual sparse-MoE distillation for efficient low-resource assamese-english and bodo-english translation. [PDF]

Sci Rep
Nath B, Gulzar Y.
europepmc   +1 more source

SKOOTS: Skeleton‐Oriented Object Segmentation for Mitochondria in High‐Resolution Cochlear EM Datasets

Advanced Science, EarlyView.
Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka, Richard T. Osgood, Hidetomi Nitta, Artur A. Indzhykulian   +3 more
wiley   +1 more source

A dataset for human-written and AI-generated code source classification. [PDF]

Data Brief
Boukili G, Garouani SE, Riffi J.
europepmc   +1 more source

LSTM recurrent networks learn simple context-free and context-sensitive languages

IEEE Trans. Neural Networks, 2001
Felix Alexander Gers, Jürgen Schmidhuber   +1 more
semanticscholar   +1 more source

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

Advanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu, Zhengfang Xue, Qing Luo, Xu Liu, Yongquan Xu, Huang Jing, Xingcai Zhang, Xinyuan Zhang, Zhonghua Liu, Zisheng Luo   +9 more
wiley   +1 more source

Legal, ethical, and policy challenges of artificial intelligence translation tools in healthcare. [PDF]

Discov Public Health
van Kolfschooten H, Goosen S, van Oirschot J, Schouten B, Vajda I, Willems L.   +5 more
europepmc   +1 more source

Genetic Diagnosis and Discovery Enabled by Large Language Models

Advanced Science, EarlyView.
We demonstrate that large language models (LLMs) can facilitate genetic diagnosis and discovery. LLMs were used to solve four types of genetic problems of sequentially increased complexity. An LLM‐based pipeline could analyze genetic variants in the genomic sequences of human hearing loss or rare genetic disease patients and assist in identifying ...
Tao Tu, Khaled Saab, Weida Liu, Zhouqing Fang, Zhuanfen Cheng, Svetolik Spasic, Maja Djurisic, Hiroaki Mohri, Wenlong Ren, Anil Palepu, Juraj Gottweis, Alan Karthikesalingam, Kavita Kulkarni, Annalisa Pawlosky, Devon Bonner, Elijah Kravets, Shruti Marwaha, Hector R. Mendez, Matthew T. Wheeler, Jonathan A. Bernstein, Undiagnosed Diseases Network, Cheng‐Yu Tsai, Chen‐Chi Wu, Konstantina M. Stankovic, Vivek Natarajan, Gary Peltz   +25 more
wiley   +1 more source

Visual Large Language Models for Generalized and Specialized Applications [PDF]

Yixuan Li, Zhixin Lai, Wentao Bao, Zhen Tan, Anh Dao, Kewei Sui, Jiayi Shen, Dong Liu, Huan Liu, Yu Kong   +9 more
openalex   +1 more source

Autoimmune Encephalitis in Acute Care—Pathology, Diagnosis, and Management

Advanced Science, EarlyView.
ABSTRACT Autoimmune encephalitis (AE) is characterized by immune‐mediated inflammation of the brain parenchyma, presenting with various neurological syndromes, including but not limited to seizures, altered consciousness, neuropsychiatric symptoms, and movement disorders.
Suneesh Thilak, David Okoh, William Scotton, Shanika Samarasekera, Vikram Patil, Suresh Renukappa, Andrew Macduff, Subashini Suresh, Rajeev Krishnadas, Tonny Veenith   +9 more
wiley   +1 more source

Colophon

Theory and Practice of Second Language Acquisition, 2018
Adam Stanisław Wojtaszek
doaj   +2 more sources