Results 81 to 90 of about 26,399 (309)

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
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

The Promise of Artificial Intelligence in Reshaping Anticancer Drug Development

open access: yesCells
While the concept of artificial intelligence (AI) has deep historical roots, its development as a formal scientific field was initiated in the 1950s by Newell and Simon, who invented a “thinking machine” called the Logic Theorist [...]
Kostas A. Papavassiliou   +3 more
doaj   +1 more source

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

open access: yesAdvanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu   +5 more
wiley   +1 more source

PREDICTING THE FUNCTIONAL RESULT OF TYMPANOPLASTY WITH THE AID OF NEURONAL NETWORKS USING A REDUCED DATA SET [PDF]

open access: yesAnnals: Series on engineering sciences (Academy of Romanian Scientists), 2019
Applications of artificial intelligence have made their presence felt over the last few years in many areas, including medicine. Since medicine is a field of high unpredictability, traditional methods of medical statistics are insufficient.
Oana SANDU   +3 more
doaj  

Liquid Crystalline Elastomers in Soft Robotics: Assessing Promise and Limitations

open access: yesAdvanced Robotics Research, EarlyView.
Liquid crystalline elastomers (LCEs) are programmable soft materials that undergo large, anisotropic deformation in response to external stimuli. Their molecular alignment encodes directional actuation in a monolithic structure, making them long‐standing candidates for soft robotic systems.
Justin M. Speregen, Timothy J. White
wiley   +1 more source

Smart REASSURED Sensors via Machine‐Augmented Printable On‐Paper Arrays

open access: yesAdvanced Sensor Research, EarlyView.
This perspective highlights the emerging role of pattern‐recognition, printable on‐paper sensor arrays for intelligent PoC diagnostics. It discusses how paper's inherent limitations can be overcome through surface modification and scalable printing, and how machine‐learning analysis of cross‐reactive arrays enables multiplexed, low‐cost, and REASSURED ...
Naimeh Naseri, Saba Ranjbar
wiley   +1 more source

Perspectivismo relacional e redes interafetivas – por uma reconsideração da inteligência a partir de uma ontologia não-antropocêntrica

open access: yesO Que Nos Faz Pensar
In this article, we aim to reframe some questions about so-called “artificial intelligence” by presenting a non anthropocentric ontology. The article is divided into four sections: firstly, we recall the strongly anthropocentric nature of the notion of ...
Diogo Barros Bogéa
doaj   +1 more source

Challenges and Future Directions in Assessing the Quality and Completeness of Advanced Materials Safety Data for Re‐Usability: A Position Paper From the Nanosafety Community

open access: yesAdvanced Sustainable Systems, EarlyView.
Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit   +43 more
wiley   +1 more source

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

open access: yesAdvanced Science, EarlyView.
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng   +27 more
wiley   +1 more source

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