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545 papers
A Semantic Integrity Risk Score is proposed: a learned, generator-agnostic measure of the degree to which a record violates the functional and logical dependencies mined from trusted data, which is positioned as a practical, proactive complement to statistical monitoring rather than a replacement for it.
The results indicate the necessity of an epistemic filter in the DIKW pyramid, filtering information from its disorders (misinformation, noise, unverified or low-quality outputs) before it can be allowed to enter knowledge.
AffAdapt is presented, a seamless interaction design framework for AI-personas, which coordinates streaming speech recognition, proactive turn-management, persona-grounded response generation, a persistent emotional state, and synchronized embodied output into a single interaction loop.
The Historical Grounding Ratio (HGR) is introduced, defined as the proportion of claim-bearing information units in a generated narrative that are supported by historical archives that are supported by historical archives, and offers an operational measure for comparing information-allocation strategies and their experiential consequences.
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A comprehensive trading framework that incorporates state-of-the-art methodologies and algorithms to simulate the entire AI image trading process and supports multiple trading mechanisms, including Blind English Sealed-Bid Auctions (BESEA), fixed-price auctions with a first-come, first-served (FCFS) model, Dutch auctions with royalty redistribution, and fractionalized auction trading.
The study contributes to information systems research by reframing AI readiness from a static resource inventory to an evolving organisational capability and offers managers a diagnostic logic for sequencing AI investments and avoiding premature scaling.
ProphDR is an interpretable deep learning framework that integrates multiomics data and drug structural information using a hierarchical attention mechanism, and generates biologically interpretable attention maps that highlight key pharmacophores and resistance-related genes consistent with established mechanisms in NSCLC and BRCA.
It is argued that AI-driven “style replication” is fundamentally a negotiation of social relations, one that recentres platform power and reorganises the conditions of human-AI collaboration.
These findings show that reliable evaluation of LLM-generated code requires validated ground truth, protected tests, and multiple explicitly interpreted measures, and that CodeAssay provides a reproducible basis for evidence-based model evaluation in AI-augmented software development.
The Comprehensive VS Platform with AI Engine (CVSP-AIE) for drug discovery from compound libraries integrates three AI models: KarmaDock, a fast docking model that directly updates atomic coordinates; CarsiDock, an accurate docking model that predicts protein-ligand distances and reconstructs binding poses; and RTMScore, an accurate scoring model that learns residue-atom distance distributions for affinity prediction.
While ChatGPT was primarily viewed as an efficient tool in a work context, the quantitative survey reveals a weakly significant correlation between psychological stress and openness toward the social-emotional use of chatbots.
MIT affiliates engage with the MIT-IBM Computing Research Lab to bring rigorous theory to production systems.
A new method, called CW-Net, translates the reasoning process of an autonomous vehicle’s AI system into understandable concepts that explain its behavior.
Earth AI
Gemini Omni 1.1 Flash brings a new suite of creative controls and generative video capabilities to developers.
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