Healthcare leaders have spent the last two years asking what AI can do. Can it write notes? Analyze research? Predict outcomes? Improve efficiency? At Becker’s 23rd Annual Spine, Orthopedic and Pain ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Abstract: Anomaly detection has been an important research topic in data mining and machine learning. Many real-world applications such as intrusion or credit card fraud detection require an effective ...
In data analysis and machine learning practice, "dimensionality reduction" is an essential technique for visualizing high-dimensional data and as a preprocessing step for clustering. Representative ...
Abstract: In this paper, we propose a simple variant of the original SVRG, called variance reduced stochastic gradient descent (VR-SGD). Unlike the choices of snapshot and starting points in SVRG and ...
For decades, ramp operations have been treated as routine logistics: a cycle of fueling, catering, baggage handling, and pushback. These activities, while essential, have long operated behind the ...
Electrification of GSE is moving from pilot projects to mandatory procurement, with significant improvements in battery technology and charging infrastructure supporting this shift. Autonomous systems ...
A study of 26,000 students found AI boosted homework scores while eroding exam performance. The AI trap responsible may be at ...
A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...
Reliance on artificial-intelligence tools degrades the abilities of physicians and software engineers, studies show ...
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