Results 41 to 50 of about 348,859 (342)
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Engaging Ethics in Postcritical Ethnography: Troubling Transparency, Trustworthiness, and Advocacy
In this article, we engage with some of the ethical challenges we faced during a four-year postcritical ethnography that focused on the resettlement experiences of Burundians with refugee status living in southern Appalachia in the United States.We ...
Jessica Nina Lester +1 more
doaj +1 more source
The researcher’s erotic subjectivities : epistemological and ethical challenges [PDF]
Aquest article pretén aprofundir en la qüestió de la rellevància potencial i la importància d’incloure reflexions sobre el desig i la sexualitat de la persona que investiga en els resultats de la seva recerca.
De Craene, Valerie, De Graeve, Katrien
core +3 more sources
Alternating High‐Fat and Polysaccharide Diets Modulates Gut Phage‐Bacterial Interplay
This study reveals how alternating high‐fat and polysaccharide diets reshape the human gut virome and enhance phage‐bacteria interactions. Using large‐scale metagenomic meta‐analysis and a time‐resolved mouse model, the authors show that diets strongly modulate phage abundance, lifestyle, and gene exchange, offering new insights into nutrition‐guided ...
Fengxiang Zhao +6 more
wiley +1 more source
Background: This autoethnography focuses on the voice of a woman of color in her journey becoming an engineering undergraduate. Purpose: Drawing on critical race theory, this counterstory illustrates structural challenges that some underrepresented ...
Julie P. Martin, Chavone Garza
doaj +1 more source
Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley +1 more source
Research Agendas in an Ubuntu Paradigm
The article contributes to the ongoing scholarly exploration of Ubuntu as an indigenous Southern African research paradigm. Building on an understanding of Ubuntu as humanness that embraces the interconnectedness not only of humans, but of all creation,
Maren Seehawer
doaj +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Abstract Children's relationship with time in preschools is an under‐researched area. Young children rarely know how to measure time using a clock, but their experiences of time may contribute to understanding children's well‐being and debates about quality in preschools.
Kristín Dýrfjörð +3 more
wiley +1 more source
An expanded role for animal privacy and relational ethics in wildlife digital technology research
There is a growing body of research exploring the effects of digital technology (DT) on wildlife. In this perspective, we map a line of inquiry that links a growing body of work describing the effects of DT on wildlife, recent work on animal privacy, and
Martin Kaehrle +2 more
doaj +1 more source

