Results 171 to 180 of about 37,865 (281)

Pacific-Led Responses to COVID-19: Lessons for Future Pandemic Preparedness. [PDF]

J R Soc N Z
Matenga-Ikihele A, Asafo F, Tuesday R, Netzler N, Puliuvea C, Percival T.   +5 more
europepmc   +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

From phenomena to phrasing: rethinking seizure classification through history. [PDF]

Brain
Soni AJ.
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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

From apology to action: advancing Indigenous self-determination in hospital care in the Northwest Territories. [PDF]

Int J Circumpolar Health
Grace Roher SI, Andrew P, Fairman K, Galloway T.   +3 more
europepmc   +1 more source

Evaluation and Adaptation of Neural Language Models for Under-Resourced Languages

Language models are now commonly used by researchers, industry, and anyone interested. However, language models of all sizes and types are primarily developed for the English language while efforts on other languages lag behind. This dissertation explores how well non-English language models perform and how to adapt models for higher resource languages
openaire   +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

Bridging the patient gap: exploring generative AI to support meaningful patient involvement in health technology assessment. [PDF]

J Comp Eff Res
Cossio M, Gilardino RE.
europepmc   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Uncovering advanced transfer learning strategies for deep neural networks in natural language processing. [PDF]

Sci Rep
Abbassy MM, Ead WM, El-Shora AIA, Aboalndr AM.   +3 more
europepmc   +1 more source