Results 71 to 80 of about 6,639 (299)
Фінансово-кредитна діяльність: проблеми теорії та практикиThe main aim is to investigate the impact of Artificial Intelligence (AI) on various aspects of disclosing financial information. The case study used a mixed methods approach, and a sample of stakeholders dealing in the Iraq Stock Exchange was taken ...
Ali Khalaf Gatea
doaj +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.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
An efficient lattice‐based threshold signature scheme using multi‐stage secret sharing
IET Information Security, 2021 Secret sharing is a cryptographic technique used in many different applications such as cloud computing, multi‐party computation and electronic voting.
Hossein Pilaram +2 more
doaj +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
Advanced Intelligent Discovery, EarlyView.This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
the Viennese Formulation of the Verifiability Principle [PDF]
, 2020 UIDB/00183/2020 UIDP/00183/2020The verifiability principle was the characteristic claim of a group of thinkers who called themselves the Vienna Circle and who formed the philosophical movement now known as logical positivism.
Oya , Alberto
core
Experimenting with the king of France: Topics, verifiability and definite descriptions
Semantics and Pragmatics, 2013 Definite descriptions with reference failure have been argued to give rise to different truth-value intuitions depending on the local linguistic context in which they appear.
Márta Abrusán, Kriszta Szendrői
doaj +1 more source
SCI-Verifier: Scientific Verifier with Thinking
CoRRAs large language models (LLMs) are increasingly applied to scientific reasoning, the complexity of answer formats and the diversity of equivalent expressions make answer verification a critical yet challenging task. Existing verification studies in scientific domains suffer from two major limitations: (a) the absence of systematic evaluation standards
Shenghe Zheng +10 more
openaire +2 more sources
Advanced Intelligent Discovery, EarlyView.Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
Design‐for‐Benchmarking in Soft Robotics: Navigating Component‐System Dichotomy
Advanced Intelligent Systems, EarlyView.Soft robotics faces a profound evaluation challenge: the Component‐System Dichotomy, where isolated component tests fail to predict integrated performance. This article presents a systematic survey of critical reporting gaps across actuation, sensing, and control.
Matteo Lo Preti +4 more
wiley +1 more source