AI model synthesizes contrast-enhanced breast MRI from pre-contrast scans
A preprint reports an AI model that synthesizes post-contrast breast MRI from pre-contrast slices, but its best setting was tested on 10 cases.
A preprint reports an AI model that synthesizes post-contrast breast MRI from pre-contrast slices, but its best setting was tested on 10 cases.
A math preprint links stable series, shifted Jack functions and Gaussian matrix models; degree-three and degree-four formulas remain conjectural.
A preprint model links jitter and traffic variability with deadline reliability and tail latency in local, edge and cloud V2X services.
A preprint reports higher software root-cause accuracy for OpsHarness on public benchmarks and company data, with verification rejecting 37% of proposals.
An arXiv preprint reports different AI assignment policies in one synthetic toxic-exposure model as different utility timescales are compared.
A mathematical preprint compares conditional ground-state decay bounds in full and dipole Pauli–Fierz models, highlighting a key technical difference.
A preprint models California Opportunity Zones, estimating positive housing-growth contrasts for designated tracts but weaker returns as policy expands.
A preprint finds LLM-enhanced graph models score higher on classification while showing more link, label and membership leakage.
A computer-vision preprint reports ego-exo benchmark comparisons with higher accuracy and an over-11-fold reduction in compute and model size.
A preprint tests a membrane-state watermark for spiking neural networks, reporting checkpoint verification alongside clear rollback and extraction limits.
A preprint tests equations using monitoring data from nine storms to estimate peak geomagnetically induced currents and their upper range.
A cloud traffic model reported higher reliability and lower energy use in simulations of Google Compute Cluster workloads, but no live deployment was reported.
Entities: Google