Results 211 to 220 of about 270,599 (317)

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
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, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Research on Mobile Robot Navigation Method Based on Semantic Information. [PDF]

Sensors (Basel)
Sun RH, Zhao X, Wu CD, Zhang L, Zhao B.
europepmc   +1 more source

Parafoveal processing of orthographic, morphological, and semantic information during reading Arabic: A boundary paradigm investigation. [PDF]

PLoS One, 2021
Hermena EW, Juma EJ, AlJassmi M.
europepmc   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
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, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

BY-SLAM: Dynamic Visual SLAM System Based on BEBLID and Semantic Information Extraction. [PDF]

Sensors (Basel)
Zhu D, Liu P, Qiu Q, Wei J, Gong R.
europepmc   +1 more source

Underwater Object Recognition Using Point-Features, Bayesian Estimation and Semantic Information. [PDF]

Sensors (Basel), 2021
Himri K, Ridao P, Gracias N.
europepmc   +1 more source

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

Using Semantic Web Technologies to Support Information Processing and Coalition Decision-Making

This paper outlines three techniques and tools which have recently arisen from Semantic Web research in the International Technology Alliance. The first of these techniques is POAF (Portable Ontology Aligned Fragments), which addresses issues relating to
Smart, Paul, Hendler, James, Russell, Alistair, Braines, Dave, Bao, Jie, Shadbolt, Nigel   +5 more
core  

Semantic spaces revisited: investigating the performance of auto-annotation and semantic retrieval using semantic spaces

, 2008
Semantic spaces encode similarity relationships between objects as a function of position in a mathematical space. This paper discusses three different formulations for building semantic spaces which allow the automatic-annotation and semantic retrieval ...
Lewis, Paul, Nixon, Mark, Samangooei, Sina, Hare, Jonathan   +3 more
core  

Distinctive responses in anterior temporal lobe and ventrolateral prefrontal cortex during categorization of semantic information. [PDF]

Sci Rep, 2021
Matsumoto A, Soshi T, Fujimaki N, Ihara AS.   +3 more
europepmc   +1 more source