Results 151 to 160 of about 55,072 (308)
Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Journal of Medical Education and Curricular DevelopmentBackground Artificial intelligence (AI) and large language models (LLMs), are potential tools for enhancing healthcare delivery and clinical research.
Faiza Ejas +22 more
doaj +1 more source
Large Language Models (LLMs) have been found to have difficulty knowing they do not possess certain knowledge and tend to provide specious answers in such cases.
Ni, Shiyu +3 more
core
When Biology Meets Medicine: A Perspective on Foundation Models
Advanced Intelligent Discovery, EarlyView.Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
When LLMs meet cybersecurity: a systematic literature review
CybersecurityThe rapid development of large language models (LLMs) has opened new avenues across various fields, including cybersecurity, which faces an evolving threat landscape and demand for innovative technologies.
Jie Zhang +9 more
doaj +1 more source
On the Roles of LLMs in Planning: Embedding LLMs into Planning Graphs
Plan synthesis aims to generate a course of actions or policies to transit given initial states to goal states, provided domain models that could be designed by experts or learnt from training data or interactions with the world.
Chen, Xin, Pan, Rong, Zhuo, Hankz Hankui
core
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
PLoS ONELarge Language Models (LLMs) have ushered in a transformative era in Natural Language Processing (NLP), reshaping research and extending NLP's influence to other fields of study.
Aniket Pramanick +3 more
doaj +1 more source
Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction
Advanced Intelligent Discovery, EarlyView.Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong +4 more
wiley +1 more source
LLMs are not Tools, LLMs are Maybe-Tools
Current large language model products are marketed as tools and delivered as something else. The something else is a system that sometimes produces tool-like output and sometimes deploys interference behaviors — refusal, substitution, wellness register, labor demands, manufactured aggression — with no reliable mechanism for the user to ...
openaire +3 more sources