AI improves brainstorming quality for general-purpose impact assessment but not specialized applications when it offers hints early and structures ideas later, based on workshop evaluations with 54 participants.
W.Quantum Detection and Estimation Theory
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Coordinated AI agents improve scientific inference from partial evidence in cross-domain tasks when single sources are incomplete, as demonstrated by AUROC gains in vector-borne disease and exoplanet benchmarks but tied performance in others.
Simulations demonstrate that sinusoidal thermal boundary conditions reduce entropy generation in power-law fluid natural convection relative to uniform heating, with shear-thinning fluids producing stronger buoyancy-driven flow and higher Nusselt numbers.
SATFuL solves fuzzy propositional satisfiability by reducing it to MINLP, handling major fuzzy logics in one framework and showing competitive results on Lukasiewicz and Product logics.
Gradient-descent optimization of eight circuit parameters in a Strawberry Fields model yields CFI gains of 153% to 1775% and 8x to 133x more useful events per pulse versus Afek et al. (2010) for N=2-5, reaching 82% of Heisenberg limit at N=2 and 58% at N=5.
The paper introduces a taxonomy of AI safety for LLMs organized into Trustworthy AI, Responsible AI, and Safe AI perspectives, accompanied by a review of state-of-the-art methods, challenges, and future directions.
citing papers explorer
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When and How AI Should Assist Brainstorming for AI Impact Assessment
AI improves brainstorming quality for general-purpose impact assessment but not specialized applications when it offers hints early and structures ideas later, based on workshop evaluations with 54 participants.
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Cross-domain benchmarks reveal when coordinated AI agents improve scientific inference from partial evidence
Coordinated AI agents improve scientific inference from partial evidence in cross-domain tasks when single sources are incomplete, as demonstrated by AUROC gains in vector-borne disease and exoplanet benchmarks but tied performance in others.
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Effects of Thermal Boundary Conditions on Natural Convection and Entropy Generation in Non-Newtonian Power-Law Fluids
Simulations demonstrate that sinusoidal thermal boundary conditions reduce entropy generation in power-law fluid natural convection relative to uniform heating, with shear-thinning fluids producing stronger buoyancy-driven flow and higher Nusselt numbers.
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Solving Fuzzy Satisfiability via Mixed-Integer Non-Linear Programming
SATFuL solves fuzzy propositional satisfiability by reducing it to MINLP, handling major fuzzy logics in one framework and showing competitive results on Lukasiewicz and Product logics.
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Quantum-Enhanced Single-Parameter Phase Estimation with Adaptive NOON States
Gradient-descent optimization of eight circuit parameters in a Strawberry Fields model yields CFI gains of 153% to 1775% and 8x to 133x more useful events per pulse versus Afek et al. (2010) for N=2-5, reaching 82% of Heisenberg limit at N=2 and 58% at N=5.
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AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions
The paper introduces a taxonomy of AI safety for LLMs organized into Trustworthy AI, Responsible AI, and Safe AI perspectives, accompanied by a review of state-of-the-art methods, challenges, and future directions.