Results 71 to 80 of about 4,106 (250)
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
MLLMto3D: An MCP-Driven Closed-Loop Framework for Architectural 3D Generation
Multimodal large language models can read architectural images and design instructions but they still struggle to turn architectural rules into editable, executable models in professional modeling environments.
Dong Yao, Bingcheng He, Xiaoxi Zhao
doaj +1 more source
bowtie-json-schema/bowtie: v2023.09.12
Full Changelog: https://github.com/bowtie-json-schema/bowtie/compare/v2023.09.11...v2023.09 ...
Oleg Smirnov +13 more
core +1 more source
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang +11 more
wiley +1 more source
Temporal JSON Schema Versioning in the JSchema Framework [PDF]
n ...
Brahmia, Safa +3 more
openaire +2 more sources
bowtie-json-schema/bowtie: v2023.09.1
Full Changelog: https://github.com/bowtie-json-schema/bowtie/compare/v2023.08.16...v2023.09.
Oleg Smirnov +12 more
core +1 more source
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin +11 more
wiley +1 more source
Development of LLM-assisted data curation tools for the Starrydata materials science database
We developed Large Language Model (LLM)-assisted tools to accelerate curator-driven data collection from materials science publications for the Starrydata database project. We implemented two complementary tools with distinct design philosophies.
Yukari Katsura +6 more
doaj +1 more source
COMPREHENSIVE STUDENT PERFORMANCE ANALYTICS USING ETL AND NEO4J [PDF]
This paper provides how Extract, Transform, Load (ETL), Neo4j database, and machine learning can be used to get insights about student performance at higher educational institutions.
Pranay Gupta +4 more
doaj +1 more source
bowtie-json-schema/bowtie: v2023.07.9
Full Changelog: https://github.com/bowtie-json-schema/bowtie/compare/v2023.07.8...v2023.07.
Julian Berman +9 more
core +1 more source

