Results 201 to 210 of about 408,758 (354)
This study explores social immunity in gregarious locusts using a groundbreaking animal–robot–pathogen interaction model. By comparing locust responses to biomimetic agents mimicking healthy and infected individuals, significant behavioral changes are revealed.
Donato Romano, Cesare Stefanini
wiley +1 more source
Cascaded classifiers for confidence-based chemical named entity recognition [PDF]
Peter Corbett, Ann Copestake
openalex +1 more source
Introduction: named entity recognition in biomedicine
Ananiadou, Sophia+2 more
openaire +3 more sources
A Task and Motion Planning Framework for Partially Observable Household Manipulation Scenes
This paper presents a novel TAMP framework tackling partial observability, cluttered scenes, and vague goals via symbolic reasoning and occlusion‐aware planning. It outperforms prior learning, policy, and LLM‐based methods in six real and simulated household tasks.
Yuhong Ma+3 more
wiley +1 more source
Design challenges and misconceptions in named entity recognition [PDF]
Lev Ratinov, Dan Roth
openalex +1 more source
Intelligent Supportive System for People with Profound Intellectual and Multiple Disabilities
A holistic INSENSION system is developed—a novel intelligent decision support system leveraging state‐of‐the‐art noninvasive audio‐visual sensor technologies together with machine learning algorithms and expert knowledge, to detect and interpret behaviors and communications (nonverbal signals—NVSs) of people with PIMD in challenging real‐world ...
Gašper Slapničar+10 more
wiley +1 more source
Artificial Intelligences: A Bridge Toward Diverse Intelligence and Humanity's Future
Many discussions of artificial intelligence fail to address deeper questions being raised by advances in developmental biology, neuroscience, bioengineering, and philosophy of mind. Novel beings, including technologically and biologically augmented humans, engineered life forms, hybrots, and others, require tools of the emerging field of diverse ...
Michael Levin
wiley +1 more source
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu+7 more
wiley +1 more source
This study introduces the Parallel Multimodal Language Model (PMLM), a multimodal diagnostic framework that integrates medical images and textual data to enhance early breast cancer detection. By addressing the limitations of text‐only large language models, PMLM significantly improves diagnostic performance.
Dashun Zheng+8 more
wiley +1 more source
SAHARA: An Online Service for HAREM Named Entity Recognition Evaluation [PDF]
Hugo Gonçalo Oliveira, Nuno Cardoso
openalex +1 more source