Results 111 to 120 of about 31,797 (289)
A Generative AI Framework to Predict Cardiomyocyte Contraction Function From Single Static Images
A single static hiPSC‐cardiomyocyte image is fed into a U‐Net‐GAN framework, which directly predicts a pixel‐resolved contraction heatmap without time‐lapse imaging. StyleGAN2‐generated synthetic cell–heatmap pairs augment training, improving prediction fidelity (SSIM = 0.84).
Andrew Kowalczewski +5 more
wiley +1 more source
Consistency and reliability of the auditory vocal hallucination rating scale (AVHRS) [PDF]
Wiersma, D. +5 more
core +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
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
A Systematic Literature Review on the Negative Impacts of AI-Generated Virtual Digital Humans
AI-generated virtual digital humans are profoundly reshaping digital innovation and consumer ecosystems. However, the dynamic evolution of their application scenarios, inherent conceptual ambiguities, and continuously advancing technological features may
Yongzhong Yang, Shihui Li, Shuoli Qiu
doaj +1 more source
Is Hallucination Not a Flaw? The Psychological Code of AI Hallucination Shaping Brand Attitudes
AI hallucination is traditionally viewed as a technical defect, yet its creative potential in brand communication remains underexplored. This study investigates how AI hallucination influences consumers’ brand attitudes in image advertising and ...
Zeyu Zhao
core +1 more source
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang +4 more
wiley +1 more source
Context and Layers in Harmony: A Unified Strategy for Mitigating LLM Hallucinations
Large language models, despite their strong performance, frequently produce hallucinated content due to excessive reliance on pre-trained knowledge while insufficiently integrating newly provided context.
Sangyeon Yu, Gyunyeop Kim, Sangwoo Kang
doaj +1 more source
AI‐Based Immortality: The Ethical Advantage of the Aretai Approach
ABSTRACT The convergence of artificial intelligence, digital identity technologies, and biogerontological ambitions has produced a novel set of philosophical problems that have not yet been adequately addressed within mainstream bioethical discourse. Digital life extension—encompassing AI‐generated avatars, neural data preservation, mind uploading, and
Mirko Daniel Garasic
wiley +1 more source

