Results 181 to 190 of about 2,236,896 (335)
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
Mapeamento semântico através da análise de ocorrência de descritores sobre gestão do conhecimento
Este artigo se apresenta como uma proposta metodológica para demarcação conceitual de assuntos, tendo como objeto o fenômeno da "Gestão do Conhecimento".
Renato Rocha Souza +2 more
doaj
Object-aware semantic mapping using probability density functions for indoor relocalization and path planning. [PDF]
Mora A, Mendez A, Moreno L, Barber R.
europepmc +1 more source
The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers
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 +6 more
wiley +1 more source
Semantic mapping of Hindi text-to-image generation using CUB dataset. [PDF]
Mudiraj NS, Singh S.
europepmc +1 more source
Ontology-based semantic mapping of chemical toxicities. [PDF]
Wang RL, Edwards S, Ives C.
europepmc +1 more source
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando +4 more
wiley +1 more source
Neurophysiological evidence of single-shot semantic mapping in the developing brain. [PDF]
Vasilyeva MJ +7 more
europepmc +1 more source

