Tag: Machine learning

Researchers trained a neural network on paired indicator-paper and ink measurements from archival manuscripts, recovering elemental ink compositions from protected ...

Researchers validated a disease-specific deep learning architecture that accurately automates metabolic tumor volume segmentation in Hodgkin lymphoma positron-emission tomography scans.

Researchers have built quantum and quantum-inspired physics-informed neural networks that solve the Hamilton–Jacobi–Bellman equation from the Merton portfolio optimization problem ...

A new review argues that machine learning can speed the search for schistosomiasis drugs only if paired with standardized, high-throughput ...

Researchers have introduced ContrailStruct30, a 30-meter thermal-infrared satellite dataset designed to support pixel-level machine learning segmentation of aircraft contrails.

A machine learning model detected cochlear implant electrode array migration from routine impedance telemetry with 88 percent sensitivity and 100 ...

A mini-review proposes a multi-agent AI framework that would fuse sensor streams, machine-learning tools and genome-scale metabolic models to autonomously ...

A single night of total sleep deprivation left a machine-detectable fingerprint in runners' gait that a trunk-mounted wearable sensor identified ...

A new review proposes an AI-centred framework that integrates data-driven methods, process-based crop models, and manipulation experiments to understand how ...

A matched comparison of direct and two-stage classifiers on 291,451 mortgage loans found negligible differences in probability accuracy, with all ...