Results 111 to 120 of about 2,176,855 (288)
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Editorial: Consumer's Behavior Beyond Self-Report
Alexandra Wolf, Kazuo Ueda
doaj +1 more source
Dynamic pressure sensing, static pressure sensing, and haptic vibration are implemented on multifunctional piezoelectret devices with the universal structural design, further combined with the customized pressure device to comprehensively simulate and expand the Traditional Chinese Medicine (TCM) three‐finger palpation.
Liuyang Han +9 more
wiley +1 more source
Rhythmic Entrainment Echoes in Auditory Perception. [PDF]
L'Hermite S, Zoefel B.
europepmc +1 more source
Combination Tones in the Model of Central Auditory Processing for Pitch Perception [PDF]
Tadeusz Ziębakowski
openalex +1 more source
Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology
This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin +9 more
wiley +1 more source
Motion perception is a key aspect of sensory processing that enables successful interaction with the environment. While visual motion perception has been extensively studied, little is known about the determinants of auditory motion perception. Our study
Adriana M. Schoenhaut +2 more
doaj +1 more source
This review outlines how recurrent neural networks model multisensory integration by capturing temporal and probabilistic features of sensory input. Key developments, challenges, and future directions are summarized, providing insights into biologically inspired AI. Multisensory integration (MSI) is a core brain function underlying perception, learning,
Ehsan Bolhasani +2 more
wiley +1 more source
Toward a neurobiology of auditory object perception: What can we learn from the songbird forebrain?
In the acoustic world, no sounds occur entirely in isolation; they always reach the ears in combination with other sounds. How any given sound is discriminated and perceived as an independent auditory object is a challenging question in neuroscience ...
Kai LU, David S. VICARIO
doaj

