Results 171 to 180 of about 7,364 (234)
Aims In medical education, the ability of large language models (LLMs) to match human performance raises questions about their potential as educational tools. This study evaluates LLMs' performance on Clinical Pharmacology and Therapeutics (CPT) exams, comparing their results to medical students and exploring their ability to identify poorly formulated
Alexandre O. Gérard +11 more
wiley +1 more source
Improved approximate check polytope projection algorithm of ADMM penalized decoding for LDPC codes in IoTs. [PDF]
Zhao Y, Wang B.
europepmc +1 more source
From paradise lost to paradise regained: A compassionate retuning of assessed seminars
Abstract Universities often aim to deliver a curriculum that is both research‐based and develops transferable skills in students, thereby enhancing their competitiveness in the job market. At the same time, evidence indicates that university students experience significant stress owing to the competitive nature of the assessments, an aspect that is ...
Sarah Stephen
wiley +1 more source
Prioritizing Feasible and Impactful Actions to Enable Secure AI Development and Use in Biology
ABSTRACT As artificial intelligence continues to enhance biological innovation, the potential for misuse must be addressed to fully unlock the potential societal benefits. While significant work has been done to evaluate general‐purpose AI and specialized biological design tools (BDTs) for biothreat creation risks, actionable steps to mitigate the risk
Josh Dettman +4 more
wiley +1 more source
Experience-dependent Changes in the Visual Processing of Letters: Evidence from Electroencephalography Decoding. [PDF]
Winsler K, Luck SJ.
europepmc +1 more source
The power of many: when genetics met yeasts and high‐throughput
ABSTRACT In recent years, complex technological capabilities have evolved, driven by the need to solve complex and integrative biological questions through global analyses. New equipment allows the scaling up and automation of processes which previously were carried out on a very limited scale.
Víctor A. Tallada, Víctor Carranco
wiley +1 more source
Reinforcement Learning-Based Cloud-Aware HAPS Trajectory Optimization in Soft-Switching Hybrid FSO/RF Cooperative Transmission System. [PDF]
Cui B, Cai S, Wang L, Zhang Z, Wang F.
europepmc +1 more source
A machine‐learning framework integrating multimodel prediction, feature selection, and SHAP interpretability is developed to uncover structure–performance relationships of Cu‐based CO2‐to‐methanol catalysts. The optimized XGBoost model and an online prediction platform enable accurate selectivity prediction and data‐driven catalyst design.
Conglong Su +11 more
wiley +1 more source
Hybrid transformer and convolution iteratively optimized pyramid network for brain large deformation image registration. [PDF]
Cui X +5 more
europepmc +1 more source

