Results 201 to 210 of about 359,043 (261)

clickBrick prompt engineering: optimizing large language model performance in clinical psychiatry. [PDF]

Npj Ment Health Res
Verhees FG, Huth F, Meyer V, Wolf F, Bauer M, Pfennig A, Ritter P, Kather JN, Wiest IC, Mikolas P.   +9 more
europepmc   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

Assessing Estimated Premorbid IQ in Dementia in the UAE: <i>A way forward for the Gulf Cooperation Council countries</i>. [PDF]

Sultan Qaboos Univ Med J
Price S.
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

Large language model use in oral and maxillofacial surgery training: a national resident survey. [PDF]

Oral Maxillofac Surg
Kranc N, Rojas EM, Wise J, Mansour P, Lyell G, Morcos M, Martins EA, Quereshy FA.   +7 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

Many Moving Parts: A Motor-Based Perspective on Developmental Speech and Language Research in Neurodevelopmental Disorders. [PDF]

J Speech Lang Hear Res
Maffei MF, Iverson JM.
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, Chapa Sirithunge, Yue Xie, Fumiya Iida, Thilina Dulantha Lalitharatne   +4 more
wiley   +1 more source

Speech Neurophysiology in Realistic Contexts: Big Hype or Big Leap? [PDF]

Eur J Neurosci
Di Liberto GM, Ip EYJ.
europepmc   +1 more source