Reflection- and Curriculum-Based Instruction Tuning for Diabetes-Specialized Large Language Models: Model Development and Evaluation Study. [PDF]
JMIR AIHwang J, Namayanja DL, Park D.
europepmc +1 more source
Advanced Optical Materials, EarlyView.Residual tetramethylammonium hydroxide (TMAH) from ZnO nanoparticle (NP) synthesis is uncovered as a hidden impurity that migrates into quantum dot emissive layers during thermal processing. The resulting exciton quenching reduces the efficiency of quantum dot light‐emitting diodes despite improved electron transport upon annealing.
Ganghyun Park +6 more
wiley +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Social determinants of health influencing diabetes self-care behaviors among immigrants: a scoping review. [PDF]
Front Clin Diabetes HealthcKudoh R, Shibayama T.
europepmc +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced 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
Elucidating the transformative role of large language models in advancing anesthesiology education. [PDF]
J Int Med ResZhu Y +5 more
europepmc +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Who sifts? Knowledge as a public good in the age of AI. [PDF]
PLOS Glob Public HealthBuse K, Hawkes S.
europepmc +1 more source
Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients
Advanced Robotics Research, EarlyView.In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni +4 more
wiley +1 more source