A retrospective study demonstrates that a linear support vector machine analyzing first lumbar vertebra radiomic features from routine non-contrast chest CT scans accurately screens for abnormal bone ...

Chemical engineers have coupled neural network surrogates with a barnacle mating algorithm to optimize catalyst-free isoamyl ...

This research assesses four demonstration quantum machine learning models—QSVC, QNN, and VQC—for IoT intrusion detection ...

CalMatters analysis of campaign finance contributors helped uncover some of the major influences behind the propositions on ...

Developing reliable machine learning models for health care can be challenging when only small datasets are available. This challenge motivates research into whether quantum computing approaches can ...

Control of the electromagnetic (EM) spectrum is no longer a supporting function of naval operations. It is the condition on ...

Researchers investigated how quantum computing could improve machine learning when healthcare data are limited. Testing five ...

AU researchers tested quantum machine learning for lung cancer prediction, with a D-Wave annealing method reaching 91.90% ...

Developing reliable machine learning models for healthcare can be challenging when only small datasets are available. This challenge motivates research into whether quantum computing approaches can ...

Apple researchers presented a method at ICML 2026 that learns query-aware routing and query rewriting for maximum inner ...

Introduction Recurrent stroke remains a major threat after an index stroke, but individual risk is difficult to estimate because recurrence reflects interacting clinical, imaging, treatment, ...

Developing reliable machine learning models for healthcare can be challenging when only small datasets are available. This challenge motivates research into whether quantum computing approaches can ...