Results 31 to 40 of about 2,595,187 (128)
Abstract While executives vary in attention to the past, present, and future, prior work has largely examined these temporal orientations in isolation or at the individual level, which limits insight into how they jointly configure within top management teams (TMTs) and translate into firm behaviours.
Shi Tang +4 more
wiley +1 more source
Welfare implications of fair and accountable insurance pricing
Abstract This paper introduces an empirical framework to evaluate the welfare implications of fair and accountable insurance pricing by modeling the complete pricing process, including demand and price optimization. Moving beyond traditional cost modeling, we analyze both discrimination‐related fairness criteria and broader regulatory constraints, such
Fei Huang, Hajime Shimao
wiley +1 more source
A Self‐Supervised Framework for Space Object Behaviour Characterisation
ABSTRACT Foundation Models, which leverage large neural networks pre‐trained on unlabelled data before fine‐tuning for specific tasks, are increasingly being applied to specialised domains. Recent examples include ClimaX for climate and Clay for satellite Earth observation, but a Foundation Model for Space Object Behavioural Analysis (SOBA) has not yet
Ian Groves +6 more
wiley +1 more source
ABSTRACT Quantum annealing is emerging as a practical tool for large‐scale combinatorial optimization. We map continuum displacements and element densities to binary variables, turning both deformation analysis and topology optimization into quadratic unconstrained binary optimization (QUBO) problems that run on today's annealers.
Rio Honda +5 more
wiley +1 more source
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Local quadratic convergence of polynomial-time interior-point methods for conic optimization problems [PDF]
In this paper, we establish a local quadratic convergence of polynomial-time interior-point methods for general conic optimization problems. The main structural property used in our analysis is the logarithmic homogeneity of self-concordant barrier ...
NESTEROV, Yu., TUNCEL, Levent
core
Passive resistive memory arrays promise efficient in‐memory computing but suffer from sneak paths and programming variability. Here, highly uniform 32 × 32 passive RRAM crossbars are programmed with multilevel precision below 3% error and 99.5% yield.
S. Ricci +6 more
wiley +1 more source
A Large-Scale Quadratic Unconstrained Binary Optimization using Photonic Quantum Microprocessor
A large-scale Quadratic Unconstrained Binary Optimization with 81 and 369 vertices is studied using a photonic quantum microprocessor. Through nested iteration and parallel optimization, it achieves approximation rates of 99.59% and 97.24%, respectively.
Hao Yu +8 more
core +1 more source
Benchmark of quantum-inspired heuristic solvers for quadratic unconstrained binary optimization. [PDF]
Oshiyama H, Ohzeki M.
europepmc +1 more source
Study addresses a critical gap in Optical Character Recognition (OCR) for cursive scripts by proposing a novel hybrid architecture that integrates convolutional neural networks with a Feature Shift Attention mechanism to jointly model fine‐grained diacritical features and long‐range ligature dependencies.
Shahzad Ashraf +3 more
wiley +1 more source

