Results 241 to 250 of about 2,637,088 (356)

Fine-Tuning Large Language Models and Machine Learning for Extracting Entities and Relationships in Spanish Medical Texts

José A. Reyes‐Ortiz, Nidia K. Serafin-Rojas, Maricela Bravo, Jousé Padilla-Cuevas   +3 more
openalex   +2 more sources

The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

Advanced Intelligent Discovery, EarlyView.
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli   +6 more
wiley   +1 more source

Network attack knowledge inference with graph convolutional networks and convolutional 2D KG embeddings. [PDF]

Sci Rep
Ren W, Zhang H, Lei Y.
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
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, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

ANCHOLIK-NER: A benchmark dataset for Bangla regional named entity recognition. [PDF]

PLoS One
Paul B, Preotee FF, Sarker S, Refat SR, Islam S, Muhammad T, Hoque MA, Manzoor S.   +7 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
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, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Real-time clinical analytics at scale: a platform built on large language models-powered knowledge graphs. [PDF]

JAMIA Open
Cao S, Li R, Wu R, Liu R, Duprey A, Zhao J.   +5 more
europepmc   +1 more source

A 3-D data model for representing topological relationships between spatial entities in built-environments /

, 2001
Jiyeong Lee
openalex   +1 more source

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

Integrating natural language processing and genome analysis enables accurate bacterial phenotype prediction. [PDF]

NAR Genom Bioinform
Gómez-Pérez D, Keller A.
europepmc   +1 more source