Results 181 to 190 of about 3,331,608 (289)
Performance of a Small Language Model Versus a Large Language Model in Answering Glaucoma Frequently Asked Patient Questions: Development and Usability Study. [PDF]
Faneli AC +8 more
europepmc +1 more source
AngioPlate384 is a 384‐well open‐top platform that automates production of more than 100 miniaturized, perfusable blood vessels embedded in hydrogel and supported by stromal cells. Stromal‐endothelial co‐culture strengthens blood vessel barrier function and yields responses useful for translational planning. Scalable and automation‐ready, it suits drug
Dawn S. Y. Lin +14 more
wiley +1 more source
Machine translationese of large language models: Dependency triplets, text classification, and SHAP analysis. [PDF]
Zhang S, Zhao C.
europepmc +1 more source
Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu +8 more
wiley +1 more source
Open- and closed-source LLMs in medical and engineering education. [PDF]
Sun L +9 more
europepmc +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Making Chatbots more human: deep reasoning large language models in ophthalmology. [PDF]
Lin X, Yang Y, Ren Y.
europepmc +1 more source
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho +9 more
wiley +1 more source
Latency-Aware Benchmarking of Large Language Models for Natural-Language Robot Navigation in ROS 2. [PDF]
Das M, Hussain Z, Nawaz M.
europepmc +1 more source
Sodium Metal All‐Solid State Batteries (Na‐ASSBs) are enabled by the synthesis of the solid state electrolyte, NASICON (Na1+xZr2SixP3‐xO12), using carbide‐based precursor compounds (ZrC and SiC); resulting in dense, pure, and mechanically improved microstructure.
Callum J. Campbell +10 more
wiley +1 more source

